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<urls><Url Source="../Content/IDOLExpert/IntroductionTopics/Welcome.htm" Title="Welcome to IDOL&#160;Expert" Abstract="Welcome to IDOL&#160;Expert The IDOL data platform converts your source content to an index of useful data that you can search and analyze. IDOL Expert describes the capabilities of IDOL, and aims to get you started with using IDOL in your system." /><Url Source="../Content/FunctionalityView.html" Title="FunctionalityView" /><Url Source="../Content/IDOLExpert/Components/IDOLComponents.htm" Title="IDOL Components" Abstract="IDOL Components IDOL&#160;Server has a number of constituent components, each of which is an ACI&#160;Server providing a set of APIs for particular use-cases." /><Url Source="../Content/IDOLExpert/IntroductionTopics/Plan_your_IDOL_Setup.htm" Title="Plan your IDOL Setup" Abstract="Plan your IDOL Setup IDOL is a data platform that helps you get the most benefit from large quantities of information. There are many possible ways to deploy and configure IDOL, but generally there are only a few key aspects that you need to consider." /><Url Source="../Content/IDOLExpert/YourContent/Your_Content.htm" Title="Your Content" Abstract="Your Content The way that you set up IDOL depends on your content, and on what you want to be able to do." /><Url Source="../Content/IDOLExpert/RetrieveContent/Retrieve_Content.htm" Title="Retrieve Content" Abstract="Retrieve Content HPE Connectors connect IDOL Server to repositories, so that you can retrieve content and extract meaning from any type of data." /><Url Source="../Content/IDOLExpert/RetrieveContent/Connectors.htm" Title="Connectors" Abstract="Connectors HPE Connectors retrieve and aggregate data from repositories. Your organization is likely to have data in many different formats, distributed across many different repositories. Connectors and CFS automatically retrieve, process, and index this data so that you can use IDOL Server to extract meaning from it." /><Url Source="../Content/IDOLExpert/RetrieveContent/Ingestion.htm" Title="Ingestion" Abstract="Ingestion Ingestion is the process where information in a repository is converted into documents that can be indexed into IDOL.  Ingestion starts when a connector finds new items in a repository, or items that have been updated or deleted. To keep IDOL up to date with the changes, the connector creates documents representing the  new, updated, and deleted items." /><Url Source="../Content/IDOLExpert/RetrieveContent/Keep_Information_Secure.htm" Title="Keep Information Secure" Abstract="Keep Information Secure In addition to extracting files from repositories, HPEConnectors are also an important part of the HPE Intellectual Asset Protection System (IAS). IAS ensures that IDOL Server does not return documents to a user unless that user is permitted to view them." /><Url Source="../Content/IDOLExpert/RetrieveContent/Additional_Connector_Act.htm" Title="Connector Actions" Abstract="Connector Actions The primary purpose of connectors is to extract data from repositories so that the data can be indexed into IDOL Server. This is accomplished using the connector’s Synchronize action. However, connectors can also perform many other actions." /><Url Source="../Content/IDOLExpert/RetrieveContent/Insert_Data_into_Reposit.htm" Title="Insert Data into Repositories" Abstract="Insert Data into Repositories Some connectors can insert data into a repository. You can therefore use a connector to extract data from one repository, process the data, and send it to another connector to insert it into another repository." /><Url Source="../Content/IDOLExpert/RetrieveContent/Connector_Framework_Serv.htm" Title="Connector Framework Server" Abstract="Connector Framework Server Connector Framework Server (CFS) processes the information that is retrieved by connectors, and then indexes the information into IDOL Server" /><Url Source="../Content/IDOLExpert/RetrieveContent/ImportProcess.htm" Title="Import Process" Abstract="Import Process Importing is the process of converting information that exists in a repository into documents. Documents contain the content and metadata from files or objects in a repository, in a format that IDOL Server can process.  Importing information allows IDOL server to use the information in the repository, without needing to process the information in its native format." /><Url Source="../Content/IDOLExpert/RetrieveContent/Customize_Processing.htm" Title="Customize Processing" Abstract="Customize Processing After you have checked how your data is extracted and indexed into IDOL, you can customize CFS to process the data more effectively. You might want to add custom fields to your documents, or remove fields that do not contain useful information. You can also manipulate documents, for example you could use the subject of an e-mail message to populate the document title." /><Url Source="../Content/IDOLExpert/RetrieveContent/Deploy_Connectors_and_CF.htm" Title="Deploy Connectors and CFS" Abstract="Deploy Connectors and CFS To get the maximum return from IDOL, carefully decide what you want to index into IDOL Server. You can then deploy Connectors and CFS to retrieve this information." /><Url Source="../Content/IDOLExpert/RetrieveContent/Configure_User_Permissio.htm" Title="Configure User Permissions" Abstract="Configure User Permissions To retrieve all the files from your repositories, a connector must have permission to read the files." /><Url Source="../Content/IDOLExpert/RetrieveContent/Check_How_Data_is_Extrac.htm" Title="Check How Data is Extracted and Processed" Abstract="Check How Data is Extracted and Processed When you deploy connectors and CFS, check that the data is extracted and processed as expected. If necessary, you can customize the documents produced by CFS." /><Url Source="../Content/IDOLExpert/RetrieveContent/Maximize_Performance.htm" Title="Maximize Performance" Abstract="Maximize Performance Extracting and indexing data quickly is critical when you are working with content that reduces in value over time. For example, if you are trying to find new trends in social media, it is important to have the latest information. This section describes the strategies that you can use to maximize  the speed at which documents are ingested." /><Url Source="../Content/IDOLExpert/RetrieveContent/Maximize_Performance_Connector.htm" Title="Maximize the Performance of a Connector" Abstract="Maximize the Performance of a Connector The maximum performance that can be obtained from a connector depends on the performance of the repository. For example, a File System Connector has to aggregate a list of files and is therefore limited by the speed of the file system. An Exchange Connector is limited by the speed of MAPI (or the Exchange Web Services) through which data are retrieved." /><Url Source="../Content/IDOLExpert/RetrieveContent/Maximize_Performance_CFS.htm" Title="Maximize the Performance of CFS" Abstract="Maximize the Performance of CFS The performance of CFS varies greatly depending on the import and index tasks that you run. Running large numbers of tasks can reduce performance, and tasks such as Eduction consume significant resources." /><Url Source="../Content/IDOLExpert/EnrichContent/Enrich_Your_Content.htm" Title="Enrich Your Content" Abstract="Enrich Your Content You can use HPE connectors to extract data from your repositories and convert it into a format that IDOL Server can process. Before you index the data into IDOL Server, you can also set up some additional processing that can improve the quality of data in IDOL Server." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Eduction.htm" Title="Eduction" Abstract="Eduction Eduction is the process of finding entities in documents, and typically extracting them to form additional fields in the document. Entities are words, phrases, or blocks of information. Eduction finds entities by using predefined or custom grammars, which use linguistic, regular expression, or term-based rules to define the pattern to match. Common entities include names, addresses, phone numbers, and credit card numbers." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Case_Sensitivity.htm" Title="Case Sensitivity in Eduction" Abstract="Case Sensitivity in Eduction You can configure Eduction to match characters case sensitively or case insensitively. By default, it is case sensitive, which has better performance." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Match_Special_Characters.htm" Title="Match Special Characters" Abstract="Match Special Characters By default, Eduction matches whole words: all matches start at the beginning of a word and stop at the end of a word. Any pattern that corresponds to a substring of a word does not match the substring." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Select_Matches.htm" Title="Select Matches" Abstract="Select Matches By default, Eduction does not return all possible matches. For example, it does not return matches that overlap a previous match." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Use_Eduction.htm" Title="Use Eduction" Abstract="Use Eduction Eduction is a useful part of pre-index processing, which allows you to create fields with extracted values automatically. If your documents have consistent, well-defined formats, you can set up an Eduction task to extract different parts of the document to different fields. For example, if the documents are letters, you can extract the name, address, and date from each document into pre-defined fields." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Extend_Grammars.htm" Title="Extend Grammars" Abstract="Extend Grammars The standard grammars provided by Eduction provide good coverage for common items of information that you would normally want to extract from your data. They are designed so that you can easily reference them in any custom grammars that you create." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Eduction_Performance.htm" Title="Eduction Performance" Abstract="Eduction Performance Eduction is very fast at grammar compilation and entity extraction. However, some expressions in the grammar patterns can increase the extraction and compilation times significantly." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Eduction_Assess_Measure.htm" Title="Assess and Measure Eduction Grammars" Abstract="Assess and Measure Eduction Grammars There might be times when you want to check the effectiveness and performance of your .ECR or .XML grammars." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Sentiment_Analysis.htm" Title="Sentiment Analysis" Abstract="Sentiment Analysis Linguistic sentiment analysis (LSA) is a tool based on Eduction that you can use to identify positive or negative sentiments in text. Sentiment analysis is available as Eduction grammar files, in various major languages." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Eduction_Sentiment_Gramm.htm" Title="Eduction Sentiment Grammar Files" Abstract="Eduction Sentiment Grammar Files The following table lists the available Eduction sentiment analysis grammar files and the features they support." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Components.htm" Title="Components" Abstract="Components Eduction is a matching and extraction tool, based on regular expressions. It does not have any built-in functionality to extract attributes from a single match." /><Url Source="../Content/IDOLExpert/EnrichContent/Categorize_Documents.htm" Title="Categorize Documents" Abstract="Categorize Documents Main Topic: Categorization You can set up an automated process to categorize documents before you index the data into IDOL Server. During this process, the documents are sent to IDOL Server in a query, which returns a list of categories that match the document." /><Url Source="../Content/IDOLExpert/EnrichContent/Summarization.htm" Title="Summarization" Abstract="Summarization Summarization attempts to reduce a section of text to a smaller amount. It aims to either remove redundant or irrelevant information, or to draw attention immediately to the most relevant part of a large document." /><Url Source="../Content/IDOLExpert/EnrichContent/Document_Tagging.htm" Title="Document Tagging" Abstract="Document Tagging Document Tagging is the general process of adding extra information to documents. It includes static additions to the documents (for example, adding information from Eduction into the document) or more dynamic information (for example, marking a document for further analysis or workflow)." /><Url Source="../Content/IDOLExpert/EnrichContent/Extract_Speech.htm" Title="Extract Speech" Abstract="Extract Speech You can use CFS and IDOL Speech Server to extract speech from audio and video. When you index audio and video files, KeyView extracts metadata but cannot process the content. The documents produced by CFS therefore have no content. To enrich these documents, you can send the audio and video files to an IDOL Speech Server. The IDOL Speech Server extracts speech from the audio and adds a transcription to the document content." /><Url Source="../Content/IDOLExpert/EnrichContent/Identify_Documents_to_Pr.htm" Title="Identify Documents to Process" Abstract="Identify Documents to Process CFS only extracts speech from documents that have the AUTN_NEEDS_TRANSCRIPTION field. You must add this field to any document that you want to process." /><Url Source="../Content/IDOLExpert/EnrichContent/Image_Analysis.htm" Title="Analyze Images" Abstract="Analyze Images When you index images into IDOL Server through CFS, KeyView can extract metadata from the images but cannot process their content.  To enrich documents that represent images, you can send the images to an IDOL Image Server. The Image Server processes the images, and extracts useful information. CFS can run any analysis task that you have configured your Image Server to complete. For example, if the image is an image of text, you can run Optical Character Recognition. If the image contains faces, you can run face recognition. CFS takes the information extracted by Image Server and adds it to the document's metadata or content." /><Url Source="../Content/IDOLExpert/Licenses/Licenses.htm" Title="Licenses" Abstract="Licenses This section describes licensing for IDOL products and components. Standard License Model The standard licensing model in IDOL uses a License Server module, which provides licenses to all the other IDOL modules that make up the IDOL deployment. The License Server itself uses an encrypted license file, given at point of sale, which specifies:" /><Url Source="../Content/IDOLExpert/Licenses/Troubleshoot_Licenses.htm" Title="Troubleshoot License Issues" Abstract="Troubleshoot License Issues The following section describes some common licensing problems, and the solutions." /><Url Source="../Content/IDOLExpert/Configure/Size_and_Scale_IDOL.htm" Title="Size and Scale IDOL Content" Abstract="Size and Scale IDOL Content The articles in this section discuss: Topics in this Section: " /><Url Source="../Content/IDOLExpert/Configure/Expand_IDOL_Installations.htm" Title="Expand IDOL Installations" Abstract="Expand IDOL Installations The default IDOL&#160;Server Standalone installation includes all the main IDOL components, and allows you to set up a small index and query your documents. However, most real-world uses of IDOL outgrow this scenario fairly rapidly. Keeping all documents in a single instance of IDOL Server becomes unsustainable in a growing system." /><Url Source="../Content/IDOLExpert/Configure/Scale_IDOL_Distributed_Architecture.htm" Title="Scale IDOL: Distributed Architecture" Abstract="Scale IDOL: Distributed Architecture The Distributed Index Handler (DIH)&#160;can automatically send each server a subset of incoming documents. The Distributed Action Handler (DAH) performs query distribution and result collation." /><Url Source="../Content/IDOLExpert/Configure/Size IDOL.htm" Title="Size IDOL" Abstract="Size IDOL A major part of the design of a distributed IDOL architecture depends on: If you know the total number of documents,  the total number of physical servers required follows easily from these two points. However, in many cases you do not know the final number of documents, but instead need to scale the system over time. In this case, you must choose a DIH distribution mode that allows you to dynamically add child servers." /><Url Source="../Content/IDOLExpert/Configure/Scale_Agentstore_and_Utility_IDOLs.htm" Title="Scale Agentstore and Utility IDOLs" Abstract="Scale Agentstore and Utility IDOLs The previous sections have discussed the sizing and scaling of a distributed IDOL index. However, you can also deploy the IDOL Content component in situations that do not have a large associated index, for example as an Agentstore (when the number of documents, and the documents themselves, tend to be smaller), or for performing utility functions, such as language detection, document statistics, or highlighting." /><Url Source="../Content/IDOLExpert/Configure/High_Availability.htm" Title="High Availability in IDOL" Abstract="High Availability in IDOL This page describes some of the methods you can use to set up a high availability deployment of IDOL&#160;Server, CFS, and Connectors." /><Url Source="../Content/IDOLExpert/Configure/Virtualization.htm" Title="Use IDOL&#160;with Virtual Machines" Abstract="Use IDOL&#160;with Virtual Machines Most of the considerations for using IDOL on virtual machines (VMs) are the same as for any virtual setup. In particular, you might need to consider additional factors when sizing your environment, to ensure that you provision sufficient resources for your IDOL installation." /><Url Source="../Content/IDOLExpert/Configure/Size_Speech_Server.htm" Title="Size Speech Server" Abstract="Size Speech Server There are several factors that affect the memory and CPU requirements for Speech Server, including:" /><Url Source="../Content/IDOLExpert/IntroductionTopics/Configure_IDOL.htm" Title="Configure IDOL" Abstract="Configure IDOL This section describes some of the configuration tasks that you must consider when you are setting up IDOL Server:" /><Url Source="../Content/IDOLExpert/Languages/Languages.htm" Title="Languages" Abstract="Languages When IDOL Server processes a document, it treats the text as a series of tokens (words), each of which is a unit of meaning. At a low level, this method is language independent. However, you can improve your query results by applying some language dependent processing." /><Url Source="../Content/IDOLExpert/Languages/Language_Types.htm" Title="Language Types" Abstract="Language Types Each document that you want to index into IDOL Server has a language and an encoding. In IDOL Server, the combination of the language and encoding is the Language Type." /><Url Source="../Content/IDOLExpert/Languages/Tokenization.htm" Title="Tokenization" Abstract="Tokenization IDOL Server stores document text as a series of tokens. Generally, a token is a word, but it can also include other strings of characters (such as a phone number or e-mail address)." /><Url Source="../Content/IDOLExpert/Languages/Determine_the_Tokens_to_.htm" Title="Determine the Tokens to Index" Abstract="Determine the Tokens to Index After the text is converted into a series of tokens, another set of rules determines the tokens that are added to the index (that is, the tokens that you can search for)." /><Url Source="../Content/IDOLExpert/Languages/Numeric_and_Alphanumeric_Data.htm" Title="Numeric and Alphanumeric Terms" Abstract="Numeric and Alphanumeric Terms When you configure your IDOL Server index, you must consider the terms that you want to search for, and the terms that you want to index. Numeric and alphanumeric terms can take up a large proportion of an index, so it is important to consider what you need to search for, and configure your index appropriately." /><Url Source="../Content/IDOLExpert/Languages/Linguistic_Adjustments.htm" Title="Linguistic Adjustments" Abstract="Linguistic Adjustments After IDOL Server has processed the tokens to remove any that you do not want to index, it indexes the remaining tokens. During this process, it modifies the tokens to make it easier to return the correct documents. This involves the following processes:" /><Url Source="../Content/IDOLExpert/Languages/Transliteration_Tables.htm" Title="Transliteration Tables" Abstract="Transliteration Tables See Also:&#160;Transliteration The following sections contain a reference for the transliteration schemes used for various language. For each, it lists the original unicode character, and the value that IDOL Server uses after transliteration in different languages." /><Url Source="../Content/IDOLExpert/Languages/Advanced_Tokenization.htm" Title="Advanced Tokenization" Abstract="Advanced Tokenization This section discusses some exceptions to the usual language tokenization. You might need to consider these sections if you have documents in Asian languages, or if the standard IDOL Server configuration options do not provide adequate support for your custom scenarios." /><Url Source="../Content/IDOLExpert/Languages/Stemming.htm" Title="Stemming" Abstract="Stemming Stemming is the process of reducing a word to its linguistic root. The purpose of this reduction is to find a base term, so that a search can be expanded to include all forms of the term. For example, you generally want a search for the word elections to match a document that contains the word election. As long as the two terms stem to the same form, both return in the search." /><Url Source="../Content/IDOLExpert/Languages/Stemming_Languages.htm" Title="Stemming Languages" Abstract="Stemming Languages The following languages have a stemming algorithm, which is applied by default: In addition, the following languages have a stemming algorithm embedded in the sentence breaking library:" /><Url Source="../Content/IDOLExpert/Languages/Stop_Lists.htm" Title="Stop Lists" Abstract="Stop Lists Stop lists are sets of words (called stop words)&#160;that are ignored when processing both index fields at index time, and subsequently as part of queries. The primary reason to use stop lists is to reduce index size and make queries faster, by ignoring words that add little or no meaning to the retrieval process." /><Url Source="../Content/IDOLExpert/Languages/Cross_Lingual_Search.htm" Title="Cross-Lingual Search" Abstract="Cross-Lingual Search By default, a search returns only documents in the same language as the search text. If you want a search to return documents in multiple languages, you must ensure that IDOL Server indexes text in a consistent way for all languages." /><Url Source="../Content/IDOLExpert/Languages/Automatic_Language_Detec.htm" Title="Automatic Language Detection&#160;" Abstract="Automatic Language Detection Automatic Language Detection (ALD) is the classification of documents according to both their language and character encoding. The identification of these is important for the subsequent indexing, processing, and filtering of documents." /><Url Source="../Content/IDOLExpert/Languages/Order_of_Language_Processes.htm" Title="Order of Language Processes" Abstract="Order of Language Processes This section describes the order that IDOL Server performs the various language processing steps during indexing and at query time." /><Url Source="../Content/IDOLExpert/Fields/Fields.htm" Title="Fields" Abstract="Fields In IDOL, all the data in a document is split up into fields. Usually, there is a title field and a field containing the body of the document content. Depending on the repository and type of data, there are often also:" /><Url Source="../Content/IDOLExpert/Fields/Types_of_Field.htm" Title="Types of Field" Abstract="Types of Field You might initially think that you want to treat all fields as document content, which receives detailed linguistic processing for conceptual search. However, this method often results in slow indexing speeds, and a large index, which then has an impact on query speeds." /><Url Source="../Content/IDOLExpert/Fields/Field_Content.htm" Title="Field Content" Abstract="Field Content The types of field discussed in Types of Field can all contain many types of data. For example, metadata, document details, and enriched data can all contain text, numbers, or dates, depending on the origin of the field." /><Url Source="../Content/IDOLExpert/Fields/Field_Properties.htm" Title="Field Properties" Abstract="Field Properties Before you index data into IDOL, you configure IDOL to store different fields with different properties. There are many available field properties. In general, they do one of the following:" /><Url Source="../Content/IDOLExpert/Fields/FieldIdentifiers.htm" Title="Field Names and Field Identifiers" Abstract="Field Names and Field Identifiers The field name is the name of a field in your index. The field name might represent the name of an IDX field (#DREFIELD), or an XML&#160;tag or attribute. A field identifier is the full name and path of the field in your index, for example the full path to the XML tag or attribute. You can use the GetTagNames action to retrieve the identifiers for existing fields (for example, for use in Query FieldText); alternatively, you can monitor field types in the data index on the Field Types page in the Monitor section of IDOL&#160;Admin." /><Url Source="../Content/IDOLExpert/Maintenance/Regenerate_Data_Indexes.htm" Title="Regenerate Data Indexes" Abstract="Regenerate Data Indexes Each of the Regenerate*Index configuration parameters rebuilds one or more of the IDOL data indexes for optimized fields (MatchType fields, NumericType fields, and so on) from the textual document field values held in the server. You can do this to reconcile the index or indexes with the document data if:" /><Url Source="../Content/IDOLExpert/Security/Security.htm" Title="Security" Abstract="Security The following sections describe some of the security concepts in IDOL Server. " /><Url Source="../Content/IDOLExpert/Security/Document_Security.htm" Title="Document Security" Abstract="Document Security Security is often a key consideration for an organization. For many organizations, some or all document content is confidential, privileged, or otherwise restricted to authorized personnel." /><Url Source="../Content/IDOLExpert/Security/Access_Control_List.htm" Title="Access Control List" Abstract="Access Control List An Access Control List (ACL) contains metadata that specifies who is allowed to view and modify a document. Each item in a repository has an associated ACL that is updated whenever a user changes the permissions applied to the item." /><Url Source="../Content/IDOLExpert/Security/OmniGroupServer.htm" Title="OmniGroupServer" Abstract="OmniGroupServer OmniGroupServer extracts user and group information from repositories, such as Microsoft Active Directory and IBM Notes. OmniGroupServer stores the information so that it can be used by IDOL to provide document security." /><Url Source="../Content/IDOLExpert/Security/User_Security.htm" Title="User Security" Abstract="User Security With IDOL, you can authenticate users against a security repository. You can use a third-party repository, or store user security information in IDOL." /><Url Source="../Content/IDOLExpert/Security/User_Passwords.htm" Title="User Passwords" Abstract="User Passwords The Community component can authenticate users in a number of different ways, either by using a local password, or by communicating with external servers such as LDAP or NT Domain. This section looks at local password use, and describes the various parameters available to control password security and settings. It also describes how passwords are stored in IDOL Server." /><Url Source="../Content/IDOLExpert/Security/Secure_Communications.htm" Title="Secure Communications" Abstract="Secure Communications Secure communications allow IDOL components to share information with other IDOL components, and with external components. It ensures that:" /><Url Source="../Content/IDOLExpert/Security/SSL_in_IDOL.htm" Title="SSL in IDOL" Abstract="SSL in IDOL You can configure Secure Socket Layer (SSL)&#160;communications in IDOL in a number of different ways. For details about the configuration parameters available, refer to the IDOL&#160;Server Reference." /><Url Source="../Content/IDOLExpert/Security/Encryption.htm" Title="Encryption in IDOL" Abstract="Encryption in IDOL IDOL Server uses encryption in various operations. This article describes some of the methods it uses." /><Url Source="../Content/IDOLExpert/Security/Security_Across_Components.htm" Title="Configure Security Across Components" Abstract="Configure Security Across Components This section outlines the configuration that you need  to in different IDOL&#160;components to ensure that when a user does a query, they see only the documents they are entitled to see. It focuses on connectors, the Content component, the Community component, OmniGroupServer and the security libraries." /><Url Source="../Content/IDOLExpert/Security/Security_Across_Components_Connector.htm" Title="Configure the Connector" Abstract="Configure the Connector For most connectors there are only two things required for security: An example in an IDX file might be:" /><Url Source="../Content/IDOLExpert/Security/Security_Across_Components_Content.htm" Title="Configure the Content Component" Abstract="Configure the Content Component Setting up security is only discussed briefly here. For more information, refer to the IDOL Server Administration Guide." /><Url Source="../Content/IDOLExpert/Security/Security_Across_Components_OGS.htm" Title="Configure OmniGroupServer" Abstract="Configure OmniGroupServer In OmniGroupServer, you must configure the repositories that you want to use. Each repository in OmniGroupServer stores group membership information for one type of security. This allows it to respond to actions such as:" /><Url Source="../Content/IDOLExpert/Security/Security_Across_Components_Community.htm" Title="Configure the Community Component" Abstract="Configure the Community Component This section describes how to set up Community to produce the SecurityInfo string for you automatically." /><Url Source="../Content/IDOLExpert/Configure/Permanent_Configuration_Settings.htm" Title="Permanent&#160;Configuration Settings" Abstract="Permanent&#160;Configuration Settings There are several IDOL Server configuration parameters that define how IDOL Server stores and processes data at a very low level. To prevent inconsistencies in the index and potential failures, some configuration parameters are permanent, and can  be set only in a clean server, or require a complete reindex of your content. Other settings might apply to new content, but require a reindex for existing content." /><Url Source="../Content/IDOLExpert/Configure/Configuration_Validation.htm" Title="Configuration Validation" Abstract="Configuration Validation The IDOL Server ValidateConfig action checks your configuration file for values that are missing or set incorrectly.  It also provides information about deprecated parameters, and configuration changes that might affect your index. For example, it flags when:" /><Url Source="../Content/IDOLExpert/IntroductionTopics/Index_Your_Content.htm" Title="Index Your Content" Abstract="Index Your Content The IDOL Server data index contains document content, and field information for analysis and retrieval. Generally, you add data to IDOL Server by configuring one or more connectors to extract the data from a repository and send it to IDOL Server for indexing." /><Url Source="../Content/IDOLExpert/IndexProcess/The_Index_Process.htm" Title="The Index Process" Abstract="The Index Process After all the pre-index processing, IDOL Server indexes the documents. This section describes the processes that IDOL Server performs when it indexes your content." /><Url Source="../Content/IDOLExpert/IndexProcess/Index_Process_DIH.htm" Title="The Index Process in a Distributed System" Abstract="The Index Process in a Distributed System When you index data using a DIH, there are more stages in the index process than when indexing directly into the IDOL Server Content component. This is because, by default, DIH continues to poll its child server after it forwards an index action, and does not mark the job as complete until all child servers have finished processing." /><Url Source="../Content/IDOLExpert/IndexProcess/Memory_Usage.htm" Title="Memory Usage in IDOL Server" Abstract="Memory Usage in IDOL Server See Also:&#160;Disk Usage in IDOL IDOL Server uses a variety of data structures held in RAM to optimize the performance of both indexing and querying. The following sections provide more information about these data structures. You can  individually configure the memory usage of each of the data structures, according to your needs, but it is important to understand the impact of such changes." /><Url Source="../Content/IDOLExpert/IndexProcess/Memory_Indexes.htm" Title="IDOL Internal Storage and Indexes" Abstract="IDOL Internal Storage and Indexes Although IDOL Server does not have a database schema, it is possible to optimize the storage of certain types of field. Depending on the types of fields that you configure, you will observe different files and folders in your IDOL directory." /><Url Source="../Content/IDOLExpert/IndexProcess/Reduce_Memory_Usage.htm" Title="Reduce Memory Usage" Abstract="Reduce Memory Usage In many situations, the memory usage of an IDOL instance can become the limiting factor in its sizing. In this case, reducing the memory usage by editing the configuration often allows you to index more documents per instance." /><Url Source="../Content/IDOLExpert/IndexProcess/Disk_Usage_in_IDOL.htm" Title="Disk Usage in IDOL" Abstract="Disk Usage in IDOL See Also:&#160;IDOL Internal Storage and Indexes You can see the amount of disk space that IDOL uses by using the DiskReport action. Alternatively, you can view information about the disk usage of directories and files in the working directory for each component on the Disk Report tab of the Performance page in the Monitor section of IDOL&#160;Admin." /><Url Source="../Content/IDOLExpert/IndexProcess/Storage_of_Document_Content.htm" Title="Storage of Document Content" Abstract="Storage of Document Content See Also:&#160;Disk Usage in IDOL You can reduce the amount of storage space that IDOL required by not storing the majority of the document content in IDOL. Some functionality is unavailable for non-stored content, but in some cases there are alternative methods that you can use." /><Url Source="../Content/IDOLExpert/IndexProcess/Free_Disk_Space.htm" Title="Free Disk Space Limitations and Behavior for IDOL&#160;Components" Abstract="Free Disk Space Limitations and Behavior for IDOL&#160;Components This page describes how different IDOL components behave when disk space is low." /><Url Source="../Content/IDOLExpert/IndexProcess/Databases.htm" Title="Databases" Abstract="Databases In IDOL Server, databases define logical sets of documents that are grouped in a particular way. This grouping can be of any type, but typical examples include the source of the document, the current status of the document, or a high-level classification of the document." /><Url Source="../Content/IDOLExpert/IndexProcess/Document_Sections.htm" Title="Document Sections" Abstract="Document Sections In many situations when indexing documents into IDOL Server, it is advantageous to break long documents up into sections. Typically, section breaking is done during the Import process by the Connectors so that the IDX subsequently indexed into IDOL Server might consist of multiple sections for each document." /><Url Source="../Content/IDOLExpert/Maintenance/Index_Maintenance.htm" Title="Index Maintenance" Abstract="Index Maintenance This section describes some of the IDOL&#160;Server maintenance tasks that you can perform, using index actions." /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_and_Restore_the_.htm" Title="Back Up and Restore the Data Index" Abstract="Back Up and Restore the Data Index There are a number of different methods that you can use to back up the IDOL&#160;Server index. This section describes these methods, and discusses why you might use each one." /><Url Source="../Content/IDOLExpert/Maintenance/Compact_the_Index.htm" Title="Compact the Index" Abstract="Compact the Index The DRECOMPACT operation is a maintenance action used to clean up and optimize the IDOL index (similar to a de-fragmentation process). There are two main scenarios where you would typically run a DRECOMPACT:" /><Url Source="../Content/IDOLExpert/Maintenance/Deduplicate_Indexed_Content.htm" Title="Deduplicate Indexed Content" Abstract="Deduplicate Indexed Content The DREDUPLICATE index action performs duplicate detection on a set of documents in the index. While the KillDuplicates parameter in the DREADD index action detects duplicates during the index process, DREDUPLICATE acts on sets of documents after they have been indexed. In addition, while the KillDuplicates parameter primarily prevents duplicate documents from being indexed, DREDUPLICATE can delete duplicate documents, tag them with a prescribed value, or move them to a different database." /><Url Source="../Content/IDOLExpert/DocumentTracking/Document_Tracking.htm" Title="Document Tracking" Abstract="Document Tracking Document tracking is a feature present in IDOL components that are involved in indexing. It reports upon the progress of documents as they pass through an index chain. Every time a document reaches a certain stage in the indexing process, the component commits event data to a back end, which stores the events." /><Url Source="../Content/IDOLExpert/DocumentTracking/DocTracking_Backends.htm" Title="Document Tracking Back Ends" Abstract="Document Tracking Back Ends This section describes some additional information about the main document tracking back-end stores that you can use." /><Url Source="../Content/IDOLExpert/DocumentTracking/Troubleshoot_DocTracking.htm" Title="Troubleshoot Document Tracking" Abstract="Troubleshoot Document Tracking When you are trying to diagnose problems with your document tracking, consider the following points:" /><Url Source="../Content/IDOLExpert/Configure/XSLT.htm" Title="XSLT in IDOL" Abstract="XSLT in IDOL XSLT (Extensible Stylesheet Language Transformations), is a language for transforming XML documents.  XSLT is commonly used to render XML in a human-friendly format (for example HTML), to transform XML into a different type of XML for input (for example, RSS), or even to generate a non-XML format like CSV (comma-separated values) for import into an application like Microsoft Excel.  XSLT transforms XML documents using XSLT templates, which are themselves written in XML." /><Url Source="../Content/IDOLExpert/IntroductionTopics/Use_Your_Content.htm" Title="Use Your Content" Abstract="Use Your Content This section describes some of the ways that you can use your content after you have indexed it into IDOL Server." /><Url Source="../Content/IDOLExpert/Inquire/Inquire.htm" Title="Inquire&#160;" Abstract="Inquire IDOL Server allows you to query for information in a variety of ways. This section describes a few of these methods, and how and why you might use them." /><Url Source="../Content/IDOLExpert/Inquire/Query.htm" Title="Query&#160;" Abstract="Query See Also: Inquire In IDOL, querying allows the flexible identification of documents that are relevant to a particular set of criteria. These criteria can include simple keyword searches, the use of complex Boolean and proximity operators, or natural language search, in which you can use a description, question, or an exemplary piece of text. You can apply a large number of filters to the query, including the FieldText operators. Most query types match values in the index fields of your documents." /><Url Source="../Content/IDOLExpert/Inquire/Basic_Queries.htm" Title="Basic Queries" Abstract="Basic Queries Basic search (also referred to as conceptual  search)&#160;includes keyword and natural language searches, which allow you to specify terms that you want to find in your document set. IDOL applies some processing to the search terms so that it can find related terms (for example, plurals, and other forms of a verb). See Languages." /><Url Source="../Content/IDOLExpert/Inquire/Boolean_and_Proximity_Qu.htm" Title="Boolean and Proximity Queries&#160;" Abstract="Boolean and Proximity Queries Boolean and proximity queries allow you to provide specific search criteria that define the relationship between different search terms. You use Boolean and proximity operators to specify terms that must or must not occur, and the relationship between those terms." /><Url Source="../Content/IDOLExpert/Inquire/Wildcard_Search.htm" Title="Wildcard Search" Abstract="Wildcard Search You can use wildcards in IDOL Server to find terms that are similar to the search term. In wildcard search, a question mark (?) represents a single missing character, and an asterisk (*) represents any number of missing characters." /><Url Source="../Content/IDOLExpert/Inquire/Field_Search.htm" Title="Field Search" Abstract="Field Search By default, searches match the text contained in all Index fields. These fields generally contain document content, such as the body of an e-mail or the main text of a word document." /><Url Source="../Content/IDOLExpert/Inquire/Case_Sensitive_Search.htm" Title="Case-Sensitive Search" Abstract="Case-Sensitive Search By default, search in IDOL Content is not case sensitive. This means that a search for a term matches other occurrences of that term, regardless of their case in the original document, and regardless of the case in which the search term is written. For example, a search for Dog matches documents that originally contained terms such as dog, DOG, Dog, or DoG. To achieve this behavior, IDOL&#160;stores all terms in the index in uppercase, and also converts search terms to uppercase during a query to match these terms." /><Url Source="../Content/IDOLExpert/Inquire/Advanced_Search_Techniqu.htm" Title="Other Search Types" Abstract="Other Search Types There are a number of other advanced search techniques that you can use with IDOL Server, including:" /><Url Source="../Content/IDOLExpert/Inquire/Optimize_Queries.htm" Title="Optimize Queries" Abstract="Optimize Queries This section describes some basic steps to look at if IDOL Server is processing queries slowly." /><Url Source="../Content/IDOLExpert/Inquire/Advanced_Search_Modes.htm" Title="Advanced Search Modes" Abstract="Advanced Search Modes The AdvancedSearch, AdvancedCaseSearch, AdvancedPlus, and XMLFullStructure options increase the available functionality of IDOL Server. However, they can also increase the processing time (at query time and at index time), and the size of the index." /><Url Source="../Content/IDOLExpert/Inquire/Stored_States.htm" Title="Stored States" Abstract="Stored States Stored state tokens allows you to save a previous query result and retrieve it at a later point in time. The tokens are stored locally by each Content and DAH component that has received the request." /><Url Source="../Content/IDOLExpert/Inquire/Query_Results.htm" Title="Query Results" Abstract="Query Results The response from a Query action can be as simple as just the number of results for the query, or as complex as a full highlighted copy of the result documents, with additional summaries and metadata presented." /><Url Source="../Content/IDOLExpert/Inquire/Result_Relevance_and_Ran.htm" Title="Result Relevance and Ranks" Abstract="Result Relevance and Ranks See Also: Adjust Query Results By default, IDOL Server returns query results in relevance order. It uses a number of methods to calculate this relevance." /><Url Source="../Content/IDOLExpert/Inquire/Adjust_Query_Results.htm" Title="Adjust Query Results" Abstract="Adjust Query Results See Also: Result Relevance and Ranks There are a number of settings that you can use to adjust the relative weighting of documents matched by queries to ensure that results are ordered appropriately." /><Url Source="../Content/IDOLExpert/Inquire/Sort_Results.htm" Title="Sort Results" Abstract="Sort Results By default, IDOL Server returns results in decreasing relevance order, and then by document ID when the relevance is equal. You can turn sorting off, in which case documents return in reverse document ID order. This is the fastest method. Applying any sort generally slows query processing down because IDOL Server has to evaluate the results more thoroughly." /><Url Source="../Content/IDOLExpert/Inquire/Query_Syntax.htm" Title="Query Syntax" Abstract="Query Syntax This section describes the main query syntax that you can use for the Text part of queries." /><Url Source="../Content/IDOLExpert/Inquire/Hyperlinking_and_Suggest.htm" Title="Hyperlinking and Suggestions" Abstract="Hyperlinking and Suggestions Hyperlinking refers to the ability for IDOL to connect related documents to results. This is implemented with the Suggest action." /><Url Source="../Content/IDOLExpert/Inquire/Spelling_Correction.htm" Title="Spelling Correction" Abstract="Spelling Correction IDOL Server can perform automatic spelling correction to terms that it believes were typed incorrectly. It uses intuitive rules to determine the most likely intended term, working from the existing documents in the IDOL index. It does not need any dictionary files." /><Url Source="../Content/IDOLExpert/Inquire/QMS.htm" Title="Query Manipulation Server" Abstract="Query Manipulation Server Query Manipulation Server (QMS) provides many functions that help to simplify tasks in front-end application development. It acts as a proxy to the IDOL Server Content component, and can modify incoming queries, or manipulate the results set." /><Url Source="../Content/IDOLExpert/Inquire/VQL.htm" Title="Verity Query Language" Abstract="Verity Query Language Verity Query Language (VQL)&#160;is a legacy query language used by the Verity K2 platform. If you upgraded to IDOL server from a Verity installation, you can continue to use VQL by using it as the queryText and adding VQL=True to the query string." /><Url Source="../Content/IDOLExpert/Investigate/Investigate.htm" Title="Investigate" Abstract="Investigate This section describes the IDOL functionality that you can use to investigate your data more thoroughly, to find trends in your data, and draw attention to particularly relevant or important information." /><Url Source="../Content/IDOLExpert/Investigate/Parametric_Search.htm" Title="Parametric Search&#160;" Abstract="Parametric Search Parametric search (also known as faceted search) allows you to find documents that have a particular value or range of values in a particular field. This type of search is useful when you want to be able to find a set of documents with particular properties." /><Url Source="../Content/IDOLExpert/Investigate/Parametric_Search_and_Fi.htm" Title="Parametric Search and Field Search" Abstract="Parametric Search and Field Search Parametric search and field search both use values in fields to filter your result set. For both searches, you should have normal search text to create a subset of your total document set, and then use the field to filter that result set to the most relevant values." /><Url Source="../Content/IDOLExpert/Investigate/Automatic_Query_Guidance.htm" Title="Automatic Query Guidance" Abstract="Automatic Query Guidance Automatic Query Guidance (AQG) is a broad technique of analysis of a document set to determine important topics and phrases (called elements) in the set. More importantly, the elements are returned with a variety of information to allow you to determine more complex relationships and use the information for a number of different use cases. These include:" /><Url Source="../Content/IDOLExpert/Investigate/Query_Summary_Response_F.htm" Title="Query Summary Response Format" Abstract="Query Summary Response Format When you set the QuerySummary parameter to True in a query, a tag of the following form returns in the results:" /><Url Source="../Content/IDOLExpert/Investigate/Improve_Automatic_Query_.htm" Title="Improve Automatic Query Guidance" Abstract="Improve Automatic Query Guidance This section describes some ways that you can improve the results from Automatic Query Guidance." /><Url Source="../Content/IDOLExpert/Investigate/Worked_Examples.htm" Title="Worked Examples" Abstract="Worked Examples In all cases, the response of a QuerySummary query is not designed to be presented to an end user in raw form. It is the interpretation and filtering of the elements that solves a problem or presents useful functionality." /><Url Source="../Content/IDOLExpert/Investigate/Highlight_Results.htm" Title="Highlight Results" Abstract="Highlight Results IDOL Server is able to highlight text in three of its actions. It can highlight: The behavior of highlighting is broadly similar across these operations. IDOL Server determines highlight matches using language rules (similar to query matches) and then surrounds these matches with a start tag and end tag of your choice." /><Url Source="../Content/IDOLExpert/Investigate/Term_Analysis.htm" Title="Term Analysis" Abstract="Term Analysis Term analysis of a document or set of documents returns statistical information on the terms in the documents. The information can in turn be used to perform conceptual operations, and it is integral in additional functionality such as categorization, clustering, and profiling." /><Url Source="../Content/IDOLExpert/Investigate/Use_TermGetAll_to_Diagno.htm" Title="Use TermGetAll to Diagnose Problems" Abstract="Use TermGetAll to Diagnose Problems You can use the results of the TermGetAll action to diagnose query performance problems. For example:" /><Url Source="../Content/IDOLExpert/Investigate/Stemming_With_Term_Actio.htm" Title="Stemming With Term Actions" Abstract="Stemming With Term Actions There are four term actions that accept the Stemming parameter: TermGetAll, TermGetBest, TermExpand, and TermGetInfo. The general idea is always the same: whether to return the results in stemmed form (Stemming=True), or unstemmed form (Stemming=False). However, the behavior of this parameter depends on the action that you use." /><Url Source="../Content/IDOLExpert/Investigate/Structured_Analysis.htm" Title="Structured Analysis" Abstract="Structured Analysis IDOL can analyze the structured fields and elements of a set of documents to find patterns in that data for the identification of trends or anomalous behavior. The analysis can take a number of forms and the implementation largely depends on the nature of the problem that you want to solve." /><Url Source="../Content/IDOLExpert/Interact/Interact.htm" Title="Interact" Abstract="Interact This section describes features of IDOL that allow users to interact with the data. With IDOL Server you can personalize your system for your users. Agents and profiles allow you to customize content according to a user’s interests, and you can form communities of users to connect people that share interests." /><Url Source="../Content/IDOLExpert/Interact/Profile_Users.htm" Title="Profile Users&#160;" Abstract="Profile Users Profiles are conceptual topics that are created automatically for an individual, based on their usage of the system. Using information such as their searches, or documents viewed and created, an individual typically has multiple profiles that evolve over time. Profiles are then used for a number of operations such as automatic delivery of relevant content." /><Url Source="../Content/IDOLExpert/Interact/Communities.htm" Title="Communities&#160;" Abstract="Communities Communities are sets of people grouped by a common theme. Such themes are automatically identified by conceptual analysis and clustering of both agents and profiles, and patterns of usage of those individuals." /><Url Source="../Content/IDOLExpert/Interact/Agents.htm" Title="Agents" Abstract="Agents Agents are queries of various types that a user saves for future usage. These can be Boolean or basic queries, and can be iteratively refined with examples." /><Url Source="../Content/IDOLExpert/Interact/Expertise_Location.htm" Title="Expertise Location" Abstract="Expertise Location Expertise location allows you to find people with certain abilities, skills, or interests. Locating such people allows collaboration on projects, using this expertise. IDOL offers two principal methods for expertise location, using the Category and Community components. These methods are the Collaboration and Expertise Network (CEN), and Communities." /><Url Source="../Content/IDOLExpert/Interact/Collaboration_and_Expert.htm" Title="Collaboration and Expertise Network" Abstract="Collaboration and Expertise Network The Collaboration and Expertise Network (CEN) uses both Category and Community to perform expertise location." /><Url Source="../Content/IDOLExpert/Interact/Expertise_Communities.htm" Title="Communities" Abstract="Communities The Community method for expertise location is available in the Community component as an action." /><Url Source="../Content/IDOLExpert/Interact/Alerts.htm" Title="Alerts" Abstract="Alerts Alerts allow you to make end users aware of new content that matches their interests. The IDOL alerting process matches documents against the agents in IDOL Server. When a document matches a user’s agent, IDOL Server sends an e-mail to that user, with a message that you configure." /><Url Source="../Content/IDOLExpert/Improve/Improve.htm" Title="Improve" Abstract="Improve This section describes operations that IDOL performs that can improve the quality of your data, and the value that you can get out of it. It includes tasks that you can perform before indexing to add flags to documents with extra information about the contents. It also includes functions that you can use to organize your data and find relationships and trends." /><Url Source="../Content/IDOLExpert/Improve/Classification.htm" Title="Classification" Abstract="Classification Classification is the act of marking a document according to predefined criteria. When a document is marked as a match for one or more criteria, it can then be tagged, filtered, or routed." /><Url Source="../Content/IDOLExpert/Improve/Categorization.htm" Title="Categorization" Abstract="Categorization In categorization, you assign documents to categories according to what the document and the category have in common." /><Url Source="../Content/IDOLExpert/Improve/Use_Categories.htm" Title="Use Categories" Abstract="Use Categories This section describes how to use categories after you have trained and built them. Query" /><Url Source="../Content/IDOLExpert/Improve/Troubleshoot_Categorizat.htm" Title="Troubleshoot Categorization" Abstract="Troubleshoot Categorization In most cases, the default settings for categorization give very good results. However, for some data sets you might be able to improve your results by considering the following factors." /><Url Source="../Content/IDOLExpert/Improve/Types_of_Categories.htm" Title="Types of Categories" Abstract="Types of Categories In IDOL Server, a category is a definition of a concept or topic. IDOL Server can analyze the content of documents, and assign documents that match the definition to that category." /><Url Source="../Content/IDOLExpert/Improve/AgentBoolean_Queries.htm" Title="AgentBoolean Queries" Abstract="AgentBoolean Queries You can think of an AgentBoolean query as the inverse of a standard query. Standard queries identify documents that match a query, while AgentBoolean queries find queries (agents) that match a document or piece of text." /><Url Source="../Content/IDOLExpert/Improve/Taxonomy.htm" Title="Taxonomy" Abstract="Taxonomy In IDOL, a taxonomy is a hierarchy of categories, ordered so that the broadest categories are at the top, and more specific categories are nearer the bottom." /><Url Source="../Content/IDOLExpert/Improve/Taxonomy_Configuration.htm" Title="Taxonomy Configuration" Abstract="Taxonomy Configuration The [Taxonomy] section of the configuration file offers a number of parameters to control the generation of taxonomies." /><Url Source="../Content/IDOLExpert/Improve/Cluster_Data.htm" Title="Cluster Data&#160;" Abstract="Cluster Data Clustering is an unsupervised data mining technique where similar objects, taken from a large set, are grouped together to form clusters. An object in this case can be anything, as long as:" /><Url Source="../Content/IDOLExpert/Improve/Cluster_from_Snapshots.htm" Title="Cluster from Snapshots" Abstract="Cluster from Snapshots IDOL can identify clusters by using representations of what is present in the set of documents at a certain point in time. This representation is known as a snapshot. The aim of this type of clustering is to identify trends in the data, rather than to include every document from the total set." /><Url Source="../Content/IDOLExpert/Improve/Uses_for_Clusters_from_S.htm" Title="Uses for Clusters from Snapshots" Abstract="Uses for Clusters from Snapshots This section describes some of the common uses of clusters created using snapshots and the IDOL Cluster actions." /><Url Source="../Content/IDOLExpert/Improve/Troubleshoot_Clusters_fr.htm" Title="Troubleshoot Clusters from Snapshots" Abstract="Troubleshoot Clusters from Snapshots Consider the following factors when you have poor results, or when clusters are not produced." /><Url Source="../Content/IDOLExpert/Improve/Algorithmic_Outline_snapshots.htm" Title="Algorithmic Outline" Abstract="Algorithmic Outline In clustering from snapshots, IDOL creates a snapshot of seeds, and then uses them to form the clusters." /><Url Source="../Content/IDOLExpert/Improve/What_s_Hot_and_What_s_Ne.htm" Title="What’s Hot and What’s New" Abstract="What’s Hot and What’s New The What’s Hot and What’s New functions allow you to see changes in the body of documents that you have in IDOL. Both cases use IDOL clustering to create sets of related documents." /><Url Source="../Content/IDOLExpert/Improve/Dynamic_Clustering.htm" Title="Dynamic Clustering" Abstract="Dynamic Clustering Main Topic: Automatic Query Guidance Dynamic clustering is a type of Automatic Query Guidance (AQG), in which IDOL Server clusters the best terms and phrases in query results. With dynamic clustering, you return the document IDs that the best terms occur in, so that the documents can be considered as clusters. This method does not address all terms and phrases in the result documents." /><Url Source="../Content/IDOLExpert/Improve/Query_Result_Clustering.htm" Title="Query Result Clustering" Abstract="Query Result Clustering You can create clusters immediately from the results of a Query or Suggest. All documents in the results set are addressed by this method." /><Url Source="../Content/IDOLExpert/Improve/Document_Tag_Clustering.htm" Title="Document Tag Clustering" Abstract="Document Tag Clustering You can use the DRETAGDOCCLUSTERS&#160;index action to cluster documents after they have been indexed. You can specify the set of documents to cluster." /><Url Source="../Content/IDOLExpert/Improve/Image_Analysis.htm" Title="Image Analysis" Abstract="Image Analysis IDOL Image Server extracts information from images, returning the results as XML documents, which you can index into IDOL Server. You can also use this information to tag images, which makes it easier to retrieve relevant images." /><Url Source="../Content/IDOLExpert/Improve/OCR.htm" Title="Optical Character Recognition (OCR)" Abstract="Optical Character Recognition (OCR) Image Server uses OCR to extract text (in UTF-8 format) from images containing text, such as scanned documents or frames from TV footage containing subtitles." /><Url Source="../Content/IDOLExpert/Improve/OCR_config.htm" Title="Configure OCR" Abstract="Configure OCR OCR has many configuration options that allow you to fine-tune its operation to improve accuracy. This section describes the basic settings that you need to consider before running OCR." /><Url Source="../Content/IDOLExpert/Improve/OCR_image_formats.htm" Title="Image File Formats" Abstract="Image File Formats Image Server can process most file formats. However, the file format can affect the accuracy of the OCR." /><Url Source="../Content/IDOLExpert/Improve/Detect Faces.htm" Title="Detect Faces" Abstract="Detect Faces The first step in analyzing an unknown image for faces is to perform face detection. The face detector searches through an image to locate regions that appear to contain a face. Image Server can then use the detected faces  to perform face recognition or further face analysis." /><Url Source="../Content/IDOLExpert/Improve/FaceDetect_factors.htm" Title="Factors Affecting Face Detection Performance" Abstract="Factors Affecting Face Detection Performance The following factors can strongly affect the performance of face detection:" /><Url Source="../Content/IDOLExpert/Improve/FaceDetect_control.htm" Title="Configure Face Detection for Best Results" Abstract="Configure Face Detection for Best Results The face detector has three parameters that you can use to tune its performance." /><Url Source="../Content/IDOLExpert/Improve/Recognize Faces.htm" Title="Recognize Faces" Abstract="Recognize Faces For each detected face in an image, face recognition attempts to find its closest match from one or more pre-trained databases. Image Server then returns a configurable number of the most closely matching faces from the databases, along with a confidence rating for each match. The results are ordered by confidence rating. Image Server's face detection module detects the faces in the image." /><Url Source="../Content/IDOLExpert/Improve/FaceRecognize_trainingImages.htm" Title="Training Image Guidelines" Abstract="Training Image Guidelines Image Server creates a model of each face to recognize in a database. You can provide multiple training images for each face model; however, in most cases HPE recommends providing only one good quality image of a face that best matches the expected appearance of the face in recognition tasks. If you expect a face to show considerable variation, for example a person who occasionally wears spectacles, it can be beneficial to use multiple training images. Keep the number of additional training images to a minimum, focusing on providing as few good quality representations of the face as needed to cover all anticipated recognition scenarios." /><Url Source="../Content/IDOLExpert/Improve/FaceRecognize_factors.htm" Title="Factors Affecting Face Recognition Performance" Abstract="Factors Affecting Face Recognition Performance Face detection is the first step in face recognition, so face recognition is affected by the same factors as face detection. In addition, the target image should ideally fulfill the following criteria:" /><Url Source="../Content/IDOLExpert/Improve/FaceRecognize_config.htm" Title="Configure Face Recognition for Best Results" Abstract="Configure Face Recognition for Best Results The first step in face recognition is face detection, therefore all of the parameters used to tune face detection also apply to face recognition. You can use four additional parameters to tune the performance of face recognition." /><Url Source="../Content/IDOLExpert/Improve/Analyze Faces.htm" Title="Analyze Faces" Abstract="Analyze Faces Face analysis estimates the demographics and/or state (expression) of a face. Face demographics include classifying the face’s apparent age, ethnicity, and gender, while face state  estimates the expression of the face. Image Server can return any of the following results for each face." /><Url Source="../Content/IDOLExpert/Improve/FaceAnalyze_factors.htm" Title="Factors Affecting Face Analysis Performance" Abstract="Factors Affecting Face Analysis Performance Estimating face demographics and expression is a complex operation and therefore requires a good quality input image. The factors that affect the performance of face analysis are the same as the factors affecting face detection, only more restrictive." /><Url Source="../Content/IDOLExpert/Improve/FaceAnalyze_config.htm" Title="Configure Face Analysis for Best Results" Abstract="Configure Face Analysis for Best Results Face detection is the first step in face analysis, therefore all of the parameters used to tune face detection also apply to face analysis. You can use two additional parameters to tune the performance of face analysis. These parameters control whether to perform demographics or expression analysis. Disabling unnecessary analysis reduces the time that Image Server takes to process images." /><Url Source="../Content/IDOLExpert/Improve/Object_Detection.htm" Title="Object Detection" Abstract="Object Detection Image Server can recognize and detect rigid two-dimensional objects in images. Example applications are:" /><Url Source="../Content/IDOLExpert/Improve/Object_config.htm" Title="Configure Object Detection for Best Results" Abstract="Configure Object Detection for Best Results To ensure the most accurate object detection, you can set several parameters in the configuration file." /><Url Source="../Content/IDOLExpert/Improve/Object_TrainingImage.htm" Title="Training Image Requirements" Abstract="Training Image Requirements Objects are trained from a single front-on view of the object. Image Server can detect the trained model  across a large range of scales and poses." /><Url Source="../Content/IDOLExpert/Improve/Object_TargetImage.htm" Title="Target Image Requirements" Abstract="Target Image Requirements You can run object detection on an image of any size, but the quality of the results depends on both the size of the image and the size of the object within the image." /><Url Source="../Content/IDOLExpert/Improve/Feature_Classification.htm" Title="Feature Classification" Abstract="Feature Classification IDOL Image Server can search for certain types of features in an image, providing ways to classify the images." /><Url Source="../Content/IDOLExpert/Improve/Synonyms.htm" Title="Synonyms" Abstract="Synonyms Synonym functionality in IDOL allows searches for conceptually similar terms when certain terms are used in the query text. In this case, conceptually similar terms are defined by the synonyms provided to the IDOL Server." /><Url Source="../Content/IDOLExpert/Improve/Activate_Synonyms_in_an_.htm" Title="Activate Synonyms in an IDOL Server" Abstract="Activate Synonyms in an IDOL Server This solution is the easiest of the three synonym choices to implement, but is useful only if you require synonym matching for a maximum of approximately 100 terms. Beyond this limit, query response times experience a growing increase with the number of synonym terms, and it can have a negative impact on indexing performance." /><Url Source="../Content/IDOLExpert/Improve/Add_a_Synonym_Content_En.htm" Title="Add a Synonym Content Engine" Abstract="Add a Synonym Content Engine Setting up a dedicated Content server to handle synonyms is a much more scalable solution than simply activating synonym support in an IDOL Server. A further benefit is that it is easier to update the synonyms, making this solution more dynamic. The dedicated synonym Content server holds documents that are simply lists of synonymous terms. A simple query to this server then returns the lists of synonyms." /><Url Source="../Content/IDOLExpert/Improve/Use_QMS_Synonym_Function.htm" Title="Use QMS Synonym Functionality" Abstract="Use QMS Synonym Functionality The Query Manipulation Server (QMS) is an ACI server that can manipulate queries and the results returned from an underlying IDOL Server data index. One of its features is the ability to complete synonym expansion on the query text." /><Url Source="../Content/IDOLExpert/Improve/Speaker_Identification.htm" Title="Speaker Identification" Abstract="Speaker Identification IDOL Speech Server provides a set of speaker identification tasks that cover both the training of a set of speaker templates, and the identification of speakers by using this set.  These sections cover the speaker identification training process in more detail, and give some basic guidance on how best to optimize the system and run speaker identification tasks. For more detailed information on optimization and speaker identification,  and on the default speaker identification tasks, refer to the Speech Server Administration Guide." /><Url Source="../Content/IDOLExpert/Improve/Create_Train_Speaker_Templates.htm" Title="Create Speaker Templates" Abstract="Create Speaker Templates Training speaker templates involves providing a set of audio samples that contain speech for a specific speaker. Speech Server uses these samples to create a speaker template.  There are two main approaches to presenting data for speaker template training." /><Url Source="../Content/IDOLExpert/Improve/Speaker_Section_Labelling.htm" Title="Speaker Section Labeling" Abstract="Speaker Section Labeling In many cases you can simply present audio files to Speech Server, and have the system process all of the audio contained within those files.  However, you can also specify a specific section within a file by using the Start and End action parameters." /><Url Source="../Content/IDOLExpert/Improve/Iterative_Training.htm" Title="Iterative Training" Abstract="Iterative Training The concept of iterative training covers the approach of training an initial set of speaker templates, running the identification processes to identify further examples of each speaker, and then feeding back these new (validated) examples to the training stage to build better models.  You can then repeat the whole process to generate more examples.  At each stage the models are trained on more data, and should provide more reliable classification." /><Url Source="../Content/IDOLExpert/Improve/Diagnostics.htm" Title="Diagnostics" Abstract="Diagnostics You can create a diagnostic file for the template creation, score calculation, threshold calculation, and speaker identification tasks." /><Url Source="../Content/IDOLExpert/Improve/Speech_To_Text_Tutorial.htm" Title="IDOL Speech-to-Text Tutorial" Abstract="IDOL Speech-to-Text Tutorial This section takes you through the speech-to-text process in IDOL Speech Server, and provides you with basic information on the output of the speech-to-text algorithm, so that you know what to expect from your IDOL Speech Server installation. For more details, refer to the IDOL&#160;Speech Server Administration Guide and the IDOL&#160;Speech Server Reference." /><Url Source="../Content/IDOLExpert/Improve/Language_Model_Tutorial.htm" Title="IDOL Speech-to-Text Language Modelling Tutorial" Abstract="IDOL Speech-to-Text Language Modelling Tutorial This section takes you through the process of using IDOL Speech Server to perform language modelling to optimize speech-to-text performance. The aim of the tutorial is to provide you with knowledge of the IDOL Speech Server custom language modelling capabilities, so that you know what to expect in your IDOL Speech Server installation." /><Url Source="../Content/IDOLExpert/Improve/Speech_To_Text_Telephony_Tutorial.htm" Title="IDOL Telephony Speech-to-Text Tutorial" Abstract="IDOL Telephony Speech-to-Text Tutorial This section takes you through the speech-to-text process for telephony content in IDOL Speech Server, and provides you with basic information on the output of the speech-to-text algorithm, so that you know what to expect from your IDOL Speech Server installation. For more details, refer to the IDOL&#160;Speech Server Administration Guide and the IDOL&#160;Speech Server Reference." /><Url Source="../Content/IDOLExpert/Improve/Audio_Analysis.htm" Title="Audio Analysis" Abstract="Audio Analysis IDOL Speech Server extracts information from audio, returning the results as XML documents, which you can index into IDOL Server." /><Url Source="../Content/IDOLExpert/View/View_Documents.htm" Title="View Documents" Abstract="View Documents The View component of IDOL Server allows you to view documents in a Web Browser. The View component uses IDOL KeyView to extract the contents of files of various different formats, and convert it into HTML output." /><Url Source="../Content/IDOLExpert/View/Distribute_View_Servers.htm" Title="Distribute View Servers" Abstract="Distribute View Servers When you want to process a large number of View requests, you might want to use more than one View component instance. In this case, you can use the DAH to distribute actions between several View servers, for load balancing." /><Url Source="../Content/IDOLExpert/View/View_with_Connectors.htm" Title="View with Connectors" Abstract="View with Connectors To convert documents, View must have access to the file that you want to view. There are several ways to do this, described in the following sections:" /><Url Source="../Content/IDOLExpert/View/View_Directly_from_the_R.htm" Title="View Directly from the Repository" Abstract="View Directly from the Repository You might consider that the simplest method is to set up View with access to the original file repositories, as shown in the following diagram." /><Url Source="../Content/IDOLExpert/View/View_from_an_Extracted_F.htm" Title="View from an Extracted Files Directory" Abstract="View from an Extracted Files Directory Another simple method for retrieving files for viewing is to keep a copy of the files that all your connectors extract, in a single shared location." /><Url Source="../Content/IDOLExpert/View/View_through_Connectors.htm" Title="View through Connectors" Abstract="View through Connectors Viewing with connectors allows you to view data from all repositories without keeping an additional store." /><Url Source="../Content/IDOLExpert/View/View_with_Distributed_Co.htm" Title="View with Distributed Connector" Abstract="View with Distributed Connector In this method, the View server requests documents from the Distributed Connector. The Distributed Connector uses your individual connectors to retrieve documents from your repositories." /><Url Source="../Content/IDOLExpert/IntroductionTopics/Maintain_IDOL.htm" Title="Maintain IDOL Server" Abstract="Maintain IDOL Server This section describes some IDOL Server maintenance tasks. " /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_.htm" Title="Back Up IDOL&#160;Server" Abstract="Back Up IDOL&#160;Server This section describes how to back up and restore IDOL&#160;Server. " /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_and_Restore_Cate.htm" Title="Back Up and Restore Category" Abstract="Back Up and Restore Category The Category component stores some of the data about the categories, clusters, and taxonomies in IDOL&#160;Server. Other data is stored in the AgentStore component, which is a specially configured Content component." /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_and_Restore_Comm.htm" Title="Back Up and Restore Community" Abstract="Back Up and Restore Community The Community component stores some of the data about users, agents, and profiles in IDOL&#160;Server. Other data is stored in the AgentStore component, which is a specially configured Content component." /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_Your_IDOL_Instal.htm" Title="Back Up Your IDOL Installation" Abstract="Back Up Your IDOL Installation You can back up your complete IDOL installation by copying all the data files in the IDOL installation directory (including subfolders). Before you copy files, you must ensure that indexing is paused (for example, by using the DREFLUSHANDPAUSE index action), and that no schedules will run during the backup time." /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_DAH_and_DIH.htm" Title="Back Up DAH and DIH" Abstract="Back Up DAH and DIH There are no actions that automatically back up the Distributed Action Handler (DAH) and Distributed Index Handler (DIH). You can make a manual backup by copying the relevant files and saving them in a secondary location." /><Url Source="../Content/IDOLExpert/Maintenance/Back_Up_Connectors.htm" Title="Back Up Connectors" Abstract="Back Up Connectors There are no actions that automatically back up your connectors. However, you can make a manual backup by copying the relevant files to a secondary location." /><Url Source="../Content/IDOLExpert/Maintenance/Schedule_Operations.htm" Title="Schedule Operations" Abstract="Schedule Operations In IDOL Server you can schedule a number of common maintenance operations to occur regularly:" /><Url Source="../Content/IDOLExpert/Maintenance/Schedule_Index_Maintenan.htm" Title="Schedule Index Maintenance" Abstract="Schedule Index Maintenance You can configure the DREBACKUP and DRECOMPACT index actions to run on a regular schedule. You can also expire documents regularly." /><Url Source="../Content/IDOLExpert/Maintenance/Schedule_Analysis_Operat.htm" Title="Schedule Analysis Operations" Abstract="Schedule Analysis Operations Category component scheduling allows you to run a small subset of analysis actions automatically at defined times. You can repeat these actions indefinitely, or set them to run a defined number of times (known as cycles)." /><Url Source="../Content/IDOLExpert/Maintenance/Memory_Report.htm" Title="Memory Report" Abstract="Memory Report The MemoryReport action provides an overview of the memory usage of the IDOL&#160;Server component and the system it is running on. The response can be broken down into three sections:" /><Url Source="../Content/IDOLExpert/Maintenance/Upgrade_Components.htm" Title="Upgrade IDOL&#160;Server Components" Abstract="Upgrade IDOL&#160;Server Components You can upgrade IDOL&#160;components individually, without needing to reindex or export your data. This section describes the steps to take to upgrade a component, and recommendations." /><Url Source="../Content/IDOLExpert/Maintenance/Monitor_IDOL_Health.htm" Title="Monitor the Status of IDOL&#160;Components" Abstract="Monitor the Status of IDOL&#160;Components You can submit standard HTTP requests to the IDOL ACI and Service ports to get information about the status of your IDOL components, whether individual components are running, and so on. You can use this information for manual analysis, or to configure automated monitoring tools such as Nagios, which can send and check HTTP responses using the check_http plugin (for more information, refer to the Nagios documentation)." /><Url Source="../Content/IDOLExpert/IntroductionTopics/Improve_Performance.htm" Title="Improve IDOL Performance" Abstract="Improve IDOL Performance This section describes some of the ways that you can test and improve the performance of your IDOL Server system." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Tune_IDOL.htm" Title="Tune IDOL Server" Abstract="Tune IDOL Server See Also:&#160;Improve Query Performance This section describes some general guidelines to help you tune your IDOL Server performance. Use this section to identify problems and improve performance when you have made sure that your server is running without any external issues, and you have checked the logs and optimized your query performance." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Identify_Problems.htm" Title="Identify Performance Issues" Abstract="Identify Performance Issues This section describes some of the common  problems that might affect performance." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Configure_Content_for_Speed.htm" Title="Configure the Content Component for Speed" Abstract="Configure the Content Component for Speed You can tune IDOL for faster query times, both by optimizing the query and by turning off certain features." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Architecture_Considerations.htm" Title="Architecture Considerations" Abstract="Architecture Considerations In a large system, you generally have a number of content servers with DAH servers to distribute the queries, and DIH to distribute the indexing. The thread count is particularly important for making sure that your architecture works fast enough." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Query_Performance.htm" Title="Improve Query Performance" Abstract="Improve Query Performance See Also:&#160;Tune IDOL Server This section provides some information about how to tune your IDOL Server queries, and optimize performance." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Query_Performance_Considerations.htm" Title="Query Performance Considerations" Abstract="Query Performance Considerations When you find out the steps that take most of the query time, you can tune your configuration and queries to decrease the response times." /><Url Source="../Content/IDOLExpert/ImprovePerformance/Worked_Example_Query_For_Numeric_Values.htm" Title="Worked Example: Query for Numeric Values" Abstract="Worked Example: Query for Numeric Values This topic discusses a number of different ways that you can query for numeric values , and the performance and configuration advantages and disadvantages of these configurations." /><Url Source="../Content/IDOLExpert/IntroductionTopics/Distribution.htm" Title="Distribution" Abstract="Distribution You can distribute IDOL Server over multiple machines, by using the Distributed Index Handler (DIH) and Distributed Action Handler (DAH). These components distribute index actions and ACI actions respectively to multiple IDOL Servers." /><Url Source="../Content/IDOLExpert/Distribution/DIH.htm" Title="Distributed Index Handler" Abstract="Distributed Index Handler The Distributed Index Handler (DIH) distributes index actions between multiple IDOL Servers or Content components." /><Url Source="../Content/IDOLExpert/Distribution/DIH_Basic_Distribution_Metho.htm" Title="Basic Distribution Methods" Abstract="Basic Distribution Methods This section describes the most easily configured methods for distributing data to multiple child servers." /><Url Source="../Content/IDOLExpert/Distribution/DIH_Advanced_Distribution_Mo.htm" Title="Advanced Distribution Modes" Abstract="Advanced Distribution Modes Advanced distribution mode is a generic term for modes where DIH processes the incoming data to generate new data files for each child. Each data file contains only the documents that the child server must index." /><Url Source="../Content/IDOLExpert/Distribution/DIH_Choose_a_Distribution_Mo.htm" Title="Choose a Distribution Mode" Abstract="Choose a Distribution Mode See Also:&#160;DIH&#160;Distribution Mode Features The distribution mode configuration options determine how DIH divides documents between child servers. The appropriate mode to use depends on a number of factors:" /><Url Source="../Content/IDOLExpert/Distribution/DIH_Distribution_Mode_Features.htm" Title="DIH&#160;Distribution Mode Features" Abstract="DIH&#160;Distribution Mode Features This section describes the features that are or are not available for different DIH&#160;distribution modes, and describes the data volumes that you can expect in each distribution mode. You can use the two tables on this page to help decide which distribution mode you want to use." /><Url Source="../Content/IDOLExpert/Distribution/DIH_EngineManagement.htm" Title="Engine Management in DIH" Abstract="Engine Management in DIH In the DIH, you can manage child servers (engines) either by directly changing configuration, or by using the EngineManagement action. If you change the configuration, you must restart the DIH, while the EngineManagement action allows you to perform the following administrative tasks while the server is running:" /><Url Source="../Content/IDOLExpert/Distribution/DAH.htm" Title="Distributed Action Handler" Abstract="Distributed Action Handler The DAH distributes actions between IDOL Servers, or components. The most common use of DAH is to distribute queries to multiple Content components or IDOL Server. In this case, DAH can either distribute between identical IDOL Servers, for load balancing and failover, or it can distribute and combine results from multiple IDOL Servers that each contain a part of the whole index." /><Url Source="../Content/IDOLExpert/Distribution/DAH_Distribution_Modes.htm" Title="DAH Distribution Modes" Abstract="DAH Distribution Modes When you configure the DAH distribution modes, the main choice is whether to use mirror mode, or non-mirror mode. This choice has an impact on all the other choices that you make in the configuration." /><Url Source="../Content/IDOLExpert/Distribution/DAH_Distribution_Methods.htm" Title="Distribution Methods" Abstract="Distribution Methods The distribution method defines how the DAH distributes actions to its child servers. The behavior of this option depends on whether DAH is in mirror mode or non-mirror mode. In non-mirror mode, the distribution method applies to Distributor VDBs, and to configured mirror groups." /><Url Source="../Content/IDOLExpert/Distribution/DAH_Advanced_Structures.htm" Title="Advanced DAH Structures" Abstract="Advanced DAH Structures In some cases, you might want to use multiple tiers of DAHs. For example: Large Distributed Datasets" /><Url Source="../Content/IDOLExpert/Distribution/DAH_Virtual_Databases.htm" Title="Virtual Databases" Abstract="Virtual Databases Virtual databases in DAH control mappings between the DAH and specific databases in child servers. When you query the DAH, you can use the DatabaseMatch parameter to match a specific DAH virtual database (VDB), which in turn maps to databases in the child servers." /><Url Source="../Content/IDOLExpert/Distribution/DAH_EngineManagement.htm" Title="Engine Management in DAH" Abstract="Engine Management in DAH In the DAH, you can manage child servers (engines) either by directly changing configuration, or by using the EngineManagement action. If you change the configuration, you must restart the DAH, while the EngineManagement action allows you to perform the following administrative tasks while the server is running:" /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Beginners.htm" Title="Beginners" Abstract="Beginners Welcome to IDOL Expert. The Beginners Browse section is intended for people who are new to IDOL, and want to know more about how it works. The topics in this section generally contain descriptions of the functionality." /><Url Source="../Content/IDOLExpert/RetrieveContent/KeyView.htm" Title="KeyView" Abstract="KeyView IDOL KeyView reads data from many different types of file. KeyView extracts content and metadata from documents, and subfiles from container files (for example ZIP files, e-mails with attachments)." /><Url Source="../Content/IDOLExpert/RetrieveContent/Lua_Scripting_Language.htm" Title="Lua Scripting Language" Abstract="Lua Scripting Language Lua is a scripting language that is embedded in Connectors and CFS. You can write Lua scripts to:" /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Configure_IDOL_beginners.htm" Title="Configure IDOL" Abstract="Configure IDOL This section describes the configuration concepts that are common to all IDOL setups. While you can configure IDOL for a variety of different functions, the following three sections describe the configuration that you always need to set up, depending on your data." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Fields_beginners.htm" Title="Fields" Abstract="Fields In IDOL, all the data in a document is split up into fields. Usually, there is a title field and a field containing the body of the document content. Depending on the repository and type of data, there are often also:" /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Languages_beginners.htm" Title="Languages" Abstract="Languages When IDOL Server processes a document, it treats the text as a series of tokens (words), each of which is a unit of meaning. At a low level, this method is language independent. However, you can improve your query results by applying some language dependent processing." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Index_Your_Content_beginners.htm" Title="Index Your Content" Abstract="Index Your Content The IDOL Server data index contains document content, and field information for analysis and retrieval. Generally, you add data to IDOL Server by configuring one or more connectors to extract the data from a repository and send it to IDOL Server for indexing." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Distribution_beginners.htm" Title="Distribution" Abstract="Distribution You can distribute IDOL Server over multiple machines, by using the Distributed Index Handler (DIH) and Distributed Action Handler (DAH). These components distribute index actions and ACI actions respectively to multiple IDOL Servers." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/IDOL_Functions_beginners.htm" Title="IDOL Functions" Abstract="IDOL Functions The following sections give an overview of some of the main IDOL functionality. The functionality view diagram describes the four main areas of functionality in IDOL. You can click the functions in this diagram to go to an introduction page for each item." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Categorization_beginners.htm" Title="Categorization" Abstract="Categorization In categorization, you assign documents to categories according to what the document and the category have in common." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Taxonomy_beginners.htm" Title="Taxonomy" Abstract="Taxonomy A taxonomy is a hierarchical arrangement of documents and categories. You can have categories with subcategories, where the subcategories contain more specific information than their parent category." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Eduction_beginners.htm" Title="Eduction" Abstract="Eduction Eduction is the process of finding entities in documents, and typically extracting them to form additional fields in the document. Entities are words, phrases, or blocks of information. Eduction finds entities by using predefined or custom grammars, which use linguistic, regular expression, or term-based rules to define the pattern to match. Common entities include names, addresses, phone numbers, and credit card numbers." /><Url Source="../Content/IDOLExpert/BrowseTopics/Beginners/Sentiment_Analysis_beginners.htm" Title="Sentiment Analysis" Abstract="Sentiment Analysis Linguistic sentiment analysis (LSA) is a tool based on Eduction that you can use to identify positive or negative sentiments in text. Sentiment analysis is available as Eduction grammar files, in various major languages." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Advanced_Users.htm" Title="Advanced Users" Abstract="Advanced Users Welcome to IDOL Expert. The Advanced Browse section is intended for people who have been using IDOL for some time, and want to find more information about a topic. These topics often include additional detail about troubleshooting and improvements." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Connectors_and_CFS_advanced.htm" Title="Connectors and CFS" Abstract="Connectors and CFS This section describes some of the more advanced topics to do with connectors and the Connector Framework Server (CFS)." /><Url Source="../Content/IDOLExpert/RetrieveContent/Identifiers.htm" Title="Identifiers" Abstract="Identifiers An Identifier is a base-64 encoded string that identifies the source of a document in IDOL Server. When Connectors and CFS are used to index documents into IDOL Server, an identifier is added to every document (in the AUTN_IDENTIFIER document field)." /><Url Source="../Content/IDOLExpert/RetrieveContent/Configuration_Parameters.htm" Title="Configuration Parameters for Testing Connectors" Abstract="Configuration Parameters for Testing Connectors When you are configuring or testing a connector, you might find the following configuration parameters useful:" /><Url Source="../Content/IDOLExpert/RetrieveContent/Distributed_Connector.htm" Title="Distributed Connector" Abstract="Distributed Connector The Distributed Connector distributes actions between Connectors. The Distributed Connector does not retrieve any information itself." /><Url Source="../Content/IDOLExpert/RetrieveContent/File_System_Connector.htm" Title="File System Connector" Abstract="File System Connector The File System Connector extracts files from a file system. To configure the File System Connector, you specify the folders that contain your files. You can also specify filters to retrieve or ignore specific files." /><Url Source="../Content/IDOLExpert/RetrieveContent/Exchange_Connector.htm" Title="Exchange Connector" Abstract="Exchange Connector The Exchange Connector extracts data from a Microsoft Exchange repository. Troubleshoot Exchange Connector" /><Url Source="../Content/IDOLExpert/RetrieveContent/Supported_Connector_Acti.htm" Title="Supported Connector Actions" Abstract="Supported Connector Actions The following table lists the actions that are supported by IDOL connectors." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Configuration_advanced.htm" Title="Configuration" Abstract="Configuration This section describes some of the more advanced IDOL configuration topics. The following topics discuss general configuration and set up information:" /><Url Source="../Content/IDOLExpert/Fields/Standard_Connector_Field.htm" Title="Standard Connector Fields" Abstract="Standard Connector Fields This section describes the standard fields that IDOL Connectors and CFS add to all your documents." /><Url Source="../Content/IDOLExpert/Fields/CantHaveFieldCSVs.htm" Title="CantHaveFieldCSVs" Abstract="CantHaveFieldCSVs The CantHaveFieldCSVs configuration parameter allows you to prevent IDOL Server from storing particular fields. You specify a comma-separated list of field names that you do not want to store." /><Url Source="../Content/IDOLExpert/Languages/Example_Cross_Lingual_Se.htm" Title="Example Cross-Lingual Search Configuration File" Abstract="Example Cross-Lingual Search Configuration File The following example shows a language configuration where several languages are configured with consistent settings to allow Cross-Lingual Search:" /><Url Source="../Content/IDOLExpert/Languages/Supported_Languages.htm" Title="Supported Languages" Abstract="Supported Languages The following table lists the languages that IDOL Server currently supports. " /><Url Source="../Content/IDOLExpert/Languages/Available_Encodings.htm" Title="Available Encodings" Abstract="Available Encodings The following table describes the available encodings in IDOL Server. " /><Url Source="../Content/IDOLExpert/Languages/Standard_Stop_Lists.htm" Title="Standard Stop Lists" Abstract="Standard Stop Lists The following languages have standard stop lists available with IDOL Server: " /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Index_Content_advanced.htm" Title="Index Content" Abstract="Index Content This set of topics describe how to index your data, and make sure that only the data that you want is indexed." /><Url Source="../Content/IDOLExpert/IndexProcess/Remove_Duplicates.htm" Title="Remove Duplicates" Abstract="Remove Duplicates You can configure IDOL Server to automatically prevent duplicate documents being indexed. This section describes the settings that you can use to decide how to process duplicates. You must also consider deduplication when you are choosing a distribution mode for DIH." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/IDOL_Functions_advanced.htm" Title="IDOL Functions" Abstract="IDOL Functions The following sections list the topics in each function area that deal with more advanced material. For the introductions to these topics, use the Contents tab, or the Beginners flow in the Browse tab." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Inquire_advanced.htm" Title="Inquire" Abstract="Inquire Query Functionality Query Parameters Improve Queries Advanced Query Types Reference Topics The following reference topics describe syntax and operators for queries:" /><Url Source="../Content/IDOLExpert/Inquire/FieldText.htm" Title="FieldText" Abstract="FieldText FieldText operations are filters that you can use to further restrict the results set generated from the text part of the query." /><Url Source="../Content/IDOLExpert/Inquire/Text.htm" Title="Text" Abstract="Text The value of the Text parameter (known as the query text) in an IDOL query is interpreted as UQL (Unstructured Query Language). After it is interpreted, any query terms are matched against Index fields with Boolean and proximity operators applied. Any matches form part of the results set." /><Url Source="../Content/IDOLExpert/Inquire/Synonym_Search.htm" Title="Synonym Search" Abstract="Synonym Search Main Topic: Synonyms You can add a list of synonyms for search terms to IDOL Server. When you search for a term, IDOL Server automatically includes all the synonyms for that term." /><Url Source="../Content/IDOLExpert/Inquire/Phrase_Search.htm" Title="Phrase Search" Abstract="Phrase Search With Advanced Search enabled, you can search for exact phrases in a conceptual query. To run a phrase search, you put the phrase in quotation marks (&quot;&quot;)." /><Url Source="../Content/IDOLExpert/Inquire/Soundex_Search.htm" Title="Soundex Search" Abstract="Soundex Search Soundex search allows you to find words that are phonetically correct, but spelled incorrectly. The search returns results that contain the keyword, and phonetically similar keywords. This method can help in searches for unfamiliar names, or words that can be spelled in multiple ways." /><Url Source="../Content/IDOLExpert/Inquire/Fuzzy_Search.htm" Title="Fuzzy Search" Abstract="Fuzzy Search Fuzzy search allows you to find words that are not spelled correctly. IDOL Server finds words that are spelled similarly to the search term. To run a fuzzy search, you use the DREFUZZY query operator in the Text parameter, followed by the search term in parentheses. For example: DREFUZZY(elephent)." /><Url Source="../Content/IDOLExpert/Inquire/ProperNames.htm" Title="ProperNames" Abstract="ProperNames The ProperNames configuration parameter controls whether terms are created from pairs of consecutive words in index fields. The rationale behind this is to increase the relevance of results by matching pairs of associated words in a query with documents in which those words are also paired." /><Url Source="../Content/IDOLExpert/Inquire/FieldText_Operators.htm" Title="FieldText Operators" Abstract="FieldText Operators The following FieldText operators are available in IDOL server. For more information about usage, refer to the IDOL Server Reference." /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Investigate_advanced.htm" Title="Investigate" Abstract="Investigate Automatic Query Guidance Highlight Results Term Analysis " /><Url Source="../Content/IDOLExpert/Investigate/Example_TermGetAll_TermA.htm" Title="Example TermGetAll TermAnalysis Response" Abstract="Example TermGetAll TermAnalysis Response action=TermGetAll&amp;TermAnalysis=True&amp;MaxTerms=0 This action returns details in the following form:" /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Interact_advanced.htm" Title="Interact" Abstract="Interact " /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Improve_advanced.htm" Title="Improve" Abstract="Improve Categorization Taxonomy Clusters Eduction Sentiment Analysis Other Useful Tools " /><Url Source="../Content/IDOLExpert/Improve/Conceptual_Categories.htm" Title="Conceptual Categories" Abstract="Conceptual Categories Conceptual categories define a topic. You train these categories with text or documents that describe the concepts that you want to find. IDOL Server analyzes the terms in the documents, and uses it to describe concepts that the category defines." /><Url Source="../Content/IDOLExpert/Improve/Binary_Categories.htm" Title="Binary Categories" Abstract="Binary Categories Binary categories are designed to answer a particular question with two possible answers (usually yes or no)." /><Url Source="../Content/IDOLExpert/Improve/Simple_Categories.htm" Title="Simple Categories" Abstract="Simple Categories Simple categorization matches a document to the best fit of a small set of categories (called simple categories)." /><Url Source="../Content/IDOLExpert/Improve/Algorithmic_Outline_dynamic.htm" Title="Algorithmic Outline" Abstract="Algorithmic Outline In dynamic clustering, IDOL Server finds the best phrases and terms from the result documents that the query returns. The best of these form the cluster titles. The phrases are then clustered according to conceptual similarity, and the number of documents that contain some or all of the clustered phrases." /><Url Source="../Content/IDOLExpert/Improve/Algorithmic_Outline_result.htm" Title="Algorithmic Outline" Abstract="Algorithmic Outline In query result clustering, IDOL Server selects the most relevant document in the query result set as the basis for the first cluster. It then compares the remaining results to this document, and adds them to the cluster if the relevance to the first document exceeds the configured ClusterThreshold. IDOL Server then applies this process to the remaining unclustered documents, and continues until all results are assigned to a cluster." /><Url Source="../Content/IDOLExpert/Improve/Algorithmic_Outline_doctag.htm" Title="Algorithmic Outline" Abstract="Algorithmic Outline In document tag clustering, for every document in the specified ID range, IDOL Server sends a Suggest action. The most relevant suggested item that has a TagSourceField is selected, and its TagSourceField is added to the first document. If there is no suggested item, the document is tagged with its own TagSourceField. If a document already has a TagField, the process moves on to the next document." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Grammars.htm" Title="Grammars" Abstract="Grammars The set of rules that describe a type of entity is known as a grammar. Some grammars contain a dictionary of terms. Others contain an expression that defines the pattern that the type of entity follows." /><Url Source="../Content/IDOLExpert/EductionAndSentimentAnalysis/Configure_Eduction_Compo.htm" Title="Configure Eduction Components" Abstract="Configure Eduction Components To use the components defined in the Eduction grammar, you must configure Eduction with:" /><Url Source="../Content/IDOLExpert/View/View.htm" Title="View" Abstract="View " /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/IDOL_Maintenance_advanced.htm" Title="IDOL Maintenance" Abstract="IDOL Maintenance This section describes some of the maintenance tasks that you can run in IDOL: " /><Url Source="../Content/IDOLExpert/BrowseTopics/Advanced/Distribution_advanced.htm" Title="Distribution" Abstract="Distribution You can distribute IDOL over multiple machines, by using the Distributed Index Handler (DIH) and Distributed Action Handler (DAH). These components distribute index actions and ACI actions respectively to multiple IDOL&#160;Servers." /><Url Source="../Content/IDOLExpert/Components/ConnectorFrameworkServer.htm" Title="Connector Framework Server" Abstract="Connector Framework Server Connector Framework Server (CFS)&#160;performs various data extraction and processing tasks for data collected by Connectors." /><Url Source="../Content/IDOLExpert/Components/DistributedActionHandler.htm" Title="Distributed Action Handler" Abstract="Distributed Action Handler The Distributed Action Handler (DAH) distributes queries and other actions between multiple instances of IDOL Server." /><Url Source="../Content/IDOLExpert/Components/DistributedIndexHandler.htm" Title="Distributed Index Handler" Abstract="Distributed Index Handler The Distributed Index Handler (DIH) distributes index actions between multiple instances of IDOL Server." /><Url Source="../Content/IDOLExpert/Components/EductionServer.htm" Title="Eduction Server" Abstract="Eduction Server Eduction Server contains entity extraction and sentiment analysis APIs. " /><Url Source="../Content/IDOLExpert/Components/IDOLCategory.htm" Title="IDOL Category" Abstract="IDOL Category IDOL&#160;Category (also known as the Category Component) contains IDOL categorization and data clustering APIs." /><Url Source="../Content/IDOLExpert/Components/IDOLCommunity.htm" Title="IDOL Community" Abstract="IDOL Community IDOL&#160;Community (also known as the Community Component) contains IDOL user and profiling APIs." /><Url Source="../Content/IDOLExpert/Components/IDOLContent.htm" Title="IDOL Content" Abstract="IDOL Content IDOL&#160;Content (also known as the Content Component, or just Content), is the primary text index for IDOL Server. It performs text processing at index time, and retrieval for queries. It also has additional functionality, such as language detection and highlighting." /><Url Source="../Content/IDOLExpert/Components/IDOLImage.htm" Title="IDOL Image" Abstract="IDOL Image IDOL&#160;Image (also known as Image Server) contains IDOL image analytics and processing APIs." /><Url Source="../Content/IDOLExpert/Components/IDOLProxy.htm" Title="IDOL Proxy" Abstract="IDOL Proxy IDOL&#160;Proxy (also known as the IDOL&#160;Proxy Component) performs automatic action redirection to the primary IDOL&#160;Server components." /><Url Source="../Content/IDOLExpert/Components/IDOLSpeech.htm" Title="IDOL Speech" Abstract="IDOL Speech IDOL&#160;Speech (also known as IDOL&#160;Speech Server) contains IDOL audio and speech processing APIs." /><Url Source="../Content/IDOLExpert/Components/IDOLView.htm" Title="IDOL View" Abstract="IDOL View IDOL&#160;View (also known as View Server or the View Component) contains native document viewing and highlighting APIs." /><Url Source="../Content/IDOLExpert/Components/LicenseServer.htm" Title="License Server" Abstract="License Server License Server manages licenses for IDOL&#160;components. " /><Url Source="../Content/IDOLExpert/Components/OmniGroupServer.htm" Title="OmniGroupServer" Abstract="OmniGroupServer OmniGroupServer is a user security helper module that allows you to use document security with IDOL." /><Url Source="../Content/IDOLExpert/Components/QueryManipulationServer.htm" Title="Query&#160;Manipulation Server" Abstract="Query&#160;Manipulation Server Query Manipulation Server (QMS) contains query manipulation and administration APIs." /><Url Source="../Content/IDOLExpert/Distribution/DAH_Example_Virtual_Databas.htm" Title="Example: Virtual Databases" Abstract="Example: Virtual Databases A DAH has three child servers: Configuration The following DAH VDB configuration queries all information about pets:" /><Url Source="../Content/IDOLExpert/Distribution/DAH_LoadBalanceMethod.htm" Title="LoadBalanceMethod" Abstract="LoadBalanceMethod The LoadBalanceMethod configuration parameter controls how DAH distributes actions to its children when it is in mirror mode. This parameter is available only when you have set MirrorMode to True, and DistributionMethod to use load balancing." /><Url Source="../Content/IDOLExpert/Distribution/DAH_StrictMode.htm" Title="StrictMode" Abstract="StrictMode The StrictMode configuration parameter determines how DAH responds when one or more child servers do not respond." /><Url Source="../Content/IDOLExpert/Distribution/DIH_ConsistentHashing.htm" Title="Consistent Hashing" Abstract="Consistent Hashing In consistent hashing mode, you can add, remove, and change the weight of the child servers in your DIH without having to reindex all your content. DIH distributes documents among a large, fixed number of virtual nodes, and then assigns the virtual nodes to one or more child servers. When you change the number of weight of a child server, you can use the DREREDISTRIBUTE index action to redistribute the virtual nodes between the new set of servers without reindexing all the data." /><Url Source="../Content/IDOLExpert/Distribution/DIH_PreserveDREADD.htm" Title="PreserveDREADD" Abstract="PreserveDREADD By default, the DIH converts incoming DREADD index actions, which contain a reference location of the file to index, to DREADDDATA index actions, which send the data directly. You can use the PreserveDREADD configuration parameter if you want DIH to forward the DREADD action directly." /><Url Source="../Content/IDOLExpert/Distribution/DIH_Redistribute.htm" Title="Redistribute" Abstract="Redistribute The Redistribute configuration parameter allows you to redistribute index actions between available servers. If a child server is unavailable, DIH distributes the index actions that would normally be sent to that server to the remaining active child servers." /><Url Source="../Content/IDOLExpert/Distribution/DIH_RespectChildFullness.htm" Title="RespectChildFullness" Abstract="RespectChildFullness The RespectChildFullness configuration option instructs the DIH to stop indexing documents into a child server that reports that it is full. You can configure the MaxDocumentCount for the child servers to specify when a child server must report that it is full." /><Url Source="../Content/IDOLExpert/IndexProcess/IDX_Documents.htm" Title="IDX Documents" Abstract="IDX Documents IDOL Server can index IDX and XML documents. IDX format is the IDOL Server index format, which describes fields and metadata." /><Url Source="../Content/IDOLExpert/IndexProcess/IndexCache.htm" Title="Index Cache" Abstract="Index Cache The index cache is a portion of the machine's memory allocated to caching the data of distinct terms sent to the Content component during index actions. Using the index cache speeds up indexing, because writing to memory is quicker than writing to disk. However, IDOL Server must commit the cache to disk to permanently save the data, and for the content to become searchable." /><Url Source="../Content/IDOLExpert/IndexProcess/Index_Actions.htm" Title="Index Actions" Abstract="Index Actions Index actions allow you to send content to IDOL Server. Generally, you set up your connectors to index data, and they send the content to IDOL Server. However, you can index data directly using index actions." /><Url Source="../Content/IDOLExpert/IndexProcess/NodeTableCompression.htm" Title="NodeTableCompression" Abstract="NodeTableCompression When you configure the NodeTableCompression parameter, IDOL Server compresses data in the nodetable directory before storing it, to reduce the disk footprint." /><Url Source="../Content/IDOLExpert/Inquire/FieldText_Polygon.htm" Title="POLYGON FieldText Search" Abstract="POLYGON FieldText Search The FieldText operator POLYGON determines whether a Cartesian (that is, a flat plane) coordinate or coordinates falls inside a given Cartesian polygon, where you define the polygon by its corners." /><Url Source="../Content/IDOLExpert/Inquire/VQL_Error_Messages.htm" Title="VQL Error Messages" Abstract="VQL Error Messages The following section describes common error messages. VQL Conversion Error Messages" /><Url Source="../Content/IDOLExpert/Investigate/IndexNumbers_TermAnalysis.htm" Title="IndexNumbers" Abstract="IndexNumbers The IndexNumbers parameter specifies whether to index numeric and alphanumeric values. You can also restrict the IndexNumbers setting for individual fields by setting up a field process. For example, if you generally want to index all numbers, but for certain fields you do not want to index any numbers, you can set up a field process to restrict the index numbers for some fields." /><Url Source="../Content/IDOLExpert/Languages/ALD_Languages.htm" Title="Automatic Language Detection Languages" Abstract="Automatic Language Detection Languages This page lists the languages that have support for IDOL Server Automatic Language Detection (ALD)." /><Url Source="../Content/IDOLExpert/Languages/Arabic_Transliteration_Table.htm" Title="Arabic Transliteration Tables" Abstract="Arabic Transliteration Tables See Also:&#160;Transliteration " /><Url Source="../Content/IDOLExpert/Languages/Cyrillic_Greek_Transliteration_Table.htm" Title="Cyrillic and Greek Transliteration Tables" Abstract="Cyrillic and Greek Transliteration Tables See Also:&#160;Transliteration " /><Url Source="../Content/IDOLExpert/Languages/DefaultLanguageType.htm" Title="DefaultLanguageType" Abstract="DefaultLanguageType The DefaultLanguageType configuration parameter defines the language type (language and encoding) to use for documents of unspecified language." /><Url Source="../Content/IDOLExpert/Languages/DiscardUnconfiguredLangu.htm" Title="DiscardUnconfiguredLanguagesAtIndex" Abstract="DiscardUnconfiguredLanguagesAtIndex The DiscardUnconfiguredLanguagesAtIndex configuration parameter allows you to discard documents that have a language and encoding that is not defined in the configuration file. This parameter has an effect only when Automatic Language Detection&#160; is enabled." /><Url Source="../Content/IDOLExpert/Languages/General_Language.htm" Title="General Language" Abstract="General Language You can specify a General language, which IDOL uses for documents with an unconfigured language, but whose encoding is identified. IDOL classifies documents as the General language when:" /><Url Source="../Content/IDOLExpert/Languages/IndexNumbers.htm" Title="IndexNumbers" Abstract="IndexNumbers The IndexNumbers configuration parameter defines how to handle numbers during indexing. It has the following options:" /><Url Source="../Content/IDOLExpert/Languages/Japanese_Transliteration_Table.htm" Title="Japanese Transliteration Tables" Abstract="Japanese Transliteration Tables See Also:&#160;Transliteration " /><Url Source="../Content/IDOLExpert/Languages/LangDetectUTF8.htm" Title="LangDetectUTF8" Abstract="LangDetectUTF8 The LangDetectUTF8 configuration parameter allows you classify files that contain 7-bit ASCII as UTF-8." /><Url Source="../Content/IDOLExpert/Languages/LanguageIndexing.htm" Title="Language Indexing Process" Abstract="Language Indexing Process The following diagram describes how IDOL determines the language type to apply to a given document. This depends on the index action, and your configuration." /><Url Source="../Content/IDOLExpert/Languages/Latin_Transliteration_Table.htm" Title="Latin-Derived Transliteration Tables" Abstract="Latin-Derived Transliteration Tables See Also:&#160;Transliteration " /><Url Source="../Content/IDOLExpert/Languages/Script_Ranges.htm" Title="Unicode Script Ranges" Abstract="Unicode Script Ranges The following table describes the unicode script ranges that IDOL Server identifies." /><Url Source="../Content/IDOLExpert/Languages/StopWordIndex.htm" Title="StopWordIndex" Abstract="StopWordIndex The StopWordIndex configuration parameter defines how to handle stop words during indexing. It has the following options:" /><Url Source="../Content/IDOLExpert/Maintenance/Identify_and_Restore_Index_Corruption.htm" Title="Identify and Restore Index Corruption" Abstract="Identify and Restore Index Corruption The most common causes of index corruption are: You can normally tell whether the IDOL process was terminated abnormally by inspecting the IDOL&#160;Server logs and seeing if the Version message is preceded by a clean stop message. If there is no clean stop message, it suggests the previous run was somehow interrupted. System logs also often give an idea of whether a process was terminated abnormally. Storage or RAM failures are typically more difficult to detect and might require additional system tools." /><Url Source="../Content/IDOLExpert/Maintenance/Monitor_IDOL_Health_Stats.htm" Title="Use Statistics to Monitor Your Components" Abstract="Use Statistics to Monitor Your Components In addition to using HTTP&#160;requests to monitor the status of your components, you can submit the GetStatistics  action to the service port of an IDOL component to retrieve internal statistics for the service. The response is in formatted XML, and each statistic is identified by a class, autnid, and name. For example:" /><Url Source="../Content/IDOLExpert/RetrieveContent/AutnFields.htm" Title="Document Fields that control Processing" Abstract="Document Fields that control Processing You can customize the way that CFS processes a document by adding the following fields to the document. These fields are read by CFS and control processing. You can add a field to a document using a Lua script, configured to run on a Pre Import Task. Unless stated otherwise, the field can have any value." /><Url Source="../Content/IDOLExpert/RetrieveContent/Document.htm" Title="Document" Abstract="Document A document is a file that is indexed into IDOL Server. A document usually represents a single file or object (such as a database record) that exists in a repository. However, a document can represent part of a file, or multiple files." /><Url Source="../Content/IDOLExpert/RetrieveContent/Documentation.htm" Title="Documentation" Abstract="Documentation Each HPE Connector has an Administration Guide that explains how to install and configure the connector, and describes the configuration parameters that customize the connector." /><Url Source="../Content/IDOLExpert/RetrieveContent/Import_Tasks.htm" Title="Import Tasks" Abstract="Import Tasks Import Tasks are processing tasks that are performed on documents by CFS, before the documents are indexed into IDOL Server. Import Tasks enable you to manipulate and enrich the documents that are created by CFS." /><Url Source="../Content/IDOLExpert/RetrieveContent/LuaScriptCFS.htm" Title="Write Lua Scripts" Abstract="Write Lua Scripts A Lua script that is run by CFS must have the following structure: function handler(document)&#xA;...&#xA;end" /><Url Source="../Content/IDOLExpert/YourContent/Example_Index_E_mails.htm" Title="Example: Index E-mails" Abstract="Example: Index E-mails If you decide to index the files from an e-mail repository, you might want to extract the following data from each message:" /><Url Source="../Content/IDOLExpert/YourContent/Scenarios.htm" Title="Scenarios" Abstract="Scenarios Consider the following contrasting scenarios: For each scenario, you must choose the correct approach so that you can maximize the value of your content. 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