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Autonomy IDOL  

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  • 1 Product Description
    • 1.1 Known Versions
  • 2 Software Pattern Summary
  • 3 Platforms Supported by the Pattern
  • 4 Identification
    • 4.1 Software Instance Triggers
    • 4.2 Software Instance Type Attributes Created
    • 4.3 Simple Identification Mappings
  • 5 Versioning
    • 5.1 Path Versioning
    • 5.2 Alternative Versioning Approach
    • 5.3 Future Considerations
  • 6 Application Model Produced by Software Pattern
    • 6.1 Product Architecture
    • 6.2 Software Pattern Model
      • 6.2.1 Pattern Trigger
      • 6.2.2 SI Depth
    • 6.3 Relationship Creation
    • 6.4 Configuration File
  • 7 Subject Matter Expertise
  • 8 Testing
  • 9 Information Sources
  • 10 Open Issues
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Product Name
IDOL
Publisher Page

Autonomy

Category

Content Management

Release
TKU 2009-Oct-1
Reports & Attributes

Autonomy IDOL - Reports & Attributes

Publisher Link
Autonomy

Product Description

At the heart of Autonomy's infrastructure software lies the Intelligent Data Operating Layer (IDOL) Server. IDOL sits above an organization's data and serves as a platform for the conceptual and contextual understanding of information in an enterprise. The IDOL Server collects indexed data from connectors and stores it in its proprietary structure, optimized for fast processing and retrieval of data. As the information processing layer, IDOL forms a conceptual and contextual understanding of all content in an enterprise, automatically analyzing any piece of information from over 1,000 different content formats and even people's interests. This complete infrastructure layer allows for the automatic categorization, tagging, linking, retrieval and profiling of all forms of unstructured information in real-time regardless of repository. Over 500 operations can be performed on digital content by IDOL, including hyperlinking, agents, summarization, taxonomy generation, clustering, eduction, profiling, alerting and retrieval. IDOL enables organizations to benefit from automation without losing manual control. This complementary approach allows automatic processing to be combined with a variety of human controllable overrides, offering the best of both worlds and never requiring an "either/or" choice. IDOL integrates with all known legacy systems, eliminating the need for organizations to cobble together multiple systems to support their disparate components.

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