Autonomy for U.S. Federal
Now more than ever, civilian, defense, and intelligence agencies across the U.S. federal government are challenged with their ability to manage and exploit unstructured information. People-friendly digital information such as emails, Web pages, telephone conversations and videos now represent 80% of the information within government. It is spread across multiple government agencies and organizations, in numerous repositories, formats and languages. Autonomy is the technology of choice for government agencies that rely on accurate real-time information analysis everyday. Our infrastructure software automatically processes unstructured information, regardless of format, language, or location for numerous government organizations including the U.S. Department of Homeland Security, the U.S. Securities and Exchange Commission, Army Knowledge Online, Air Force Knowledge Now and the U.S. Department of Energy.
Key Capabilities
Automatic Profiling
Autonomy monitors the way in which users interact with information and automatically forms profiles of their interests. These profiles are then used to alert users to existing material, and where appropriate, deliver highly relevant new information. IDOL generates a conceptual profile of each user based on both explicit profiles (agents) and implicit profiles (browsing, content consumption or content contribution). This greatly improves rapid ability to share information within the community.
Automatic Clustering
With Autonomy, organizations such as the Department of Defense can automatically cluster information based on a conceptual understanding of the content and provide users multiple, different interfaces to the data.
Categorization
IDOL automatically categorizes data without the need for manual intervention. Categories can also be imported from existing XML files, legacy topics and legacy Autonomy Agents.
Taxonomy Generation
Autonomy ensures DOD's information, expertise and experience are available in taxonomies through IDOL's taxonomy generation feature, which provides an "information landscape," allowing users to see the spread and type of information. Populating both static taxonomies and also automatically creating taxonomy categories based on the actual content or concepts found within the data itself.
Conceptual Retrieval
Autonomy Retrieval enables U.S. government organizations to extract meaning from the jargon and complex terminology of information, expertise and experience. IDOL understands the conceptual meanings of words rather than just matching keywords, but also understands simple legacy keyword search, parametric refinement, fielded search, to highly sophisticated conceptual and multilingual querying.
Autonomy US Federal Case Studies
