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Knowledge Modeling and Discovery

Knowledge Modeling and Discovery. About Thetus. Thetus develops knowledge modeling and discovery infrastructure software for customers who:. Have high-value data not easily structured using traditional database technology Has evolving meaning and varied relevance to different users

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Knowledge Modeling and Discovery

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  1. Knowledge Modeling and Discovery

  2. About Thetus Thetus develops knowledge modeling and discovery infrastructure software for customers who: • Have high-value data not easily structured using traditional database technology • Has evolving meaning and varied relevance to different users • Has no single representation • Need automated processing, notification and search • Need recorded history of information • Want to do predictive modeling

  3. The Challenges Facing Today’s Organization DISCOVER & RELATE DATA TOOLS

  4. The Challenges Facing Today’s Organization DISCOVER & RELATE DATA As complexity increases, data and metadata are not easily structured using traditional database-driven technology. History and context for knowledge are lost. TOOLS

  5. The Challenges Facing Today’s Organization DISCOVER & RELATE Automated Tracking & Reporting DATA TOOLS

  6. The Knowledge Gap The limitations of traditional approaches have created a disturbing gap between data and the organization’s ability to transform it into actionable, reusable knowledge. The result? Costly inefficiencies in managing information Large amounts of high-value information go undiscovered

  7. Thetus Publisher Bridges the Gap Thetus Publisher provides the essential complementary component—enabling customers to:Uniformly model, discover, track and evolve knowledge Make better decisions based on persistent analysis, evaluation, and predictive forecasting

  8. Alerts Analytics Web Applications Custom Clients GIS/Mapping Tools WAN JSP SERVER .NET SERVER Dynamically-Evolving Knowledge Models • THETUS PUBLISHER • Servers • Software Development Kit • Integration Tools TASK SERVERS • LIVE SOURCES • SENSOR DATA • RSS FEEDS PUBLISHER SERVER • ANALYTICS • ENTITY EXTRACTION • GEO-TAGGING DATABASES TRIPLE STORES OTHER REPOSITORIES REASONERS ANDINFERENCE ENGINES Applications and Portals

  9. Thetus Publisher: How It Works Metadata is captured and dynamically indexed—making it instantly available for search and automated processing. Metadata Extraction & Management

  10. A rules-based task processing network performs event, rule and schedule-based routing, notification, filtering and analysis (classification tasks) Workflow

  11. Lineage provides a history of information processing and ontology evolution for search, reporting, re-processing and modeling Lineage

  12. Evolving Knowledge Models • Knowledge models provide an evolving view of community knowledge structures and relationships • Policy overlays allow different access privileges

  13. A flexible framework for problem-centric modeling • Enables users and machines to efficiently leverage evolving knowledge • Supports better decisions, persistent development of best practices, and predictive forecasting

  14. Context and Policy Filtering • Filtering by context enables users to quickly pinpoint information relevant to their specific needs • Policy determines access permissions for all users

  15. Filtering by context enables users to quickly pinpoint information relevant to their specific needs • Policy determines access permissions for all users

  16. Explicit Group Group Group Group and Implicit Event Event Event Event perpetrator hasMember perpetrator alliedWith hasMember hasMember perpetrator Person Person Person Person hasAlias hasMember perpetrator alliedWith Dynamically-Evolving Knowledge ModelsRich Networks ofRelationships Hidden Trends, Patterns, and Relationships among Data Enabled by Logical Inferencing (RDF/OWL)

  17. Group Group Group Group Event Event Event Event perpetrator hasMember perpetrator alliedWith hasMember hasMember perpetrator Person Person Person Person hasAlias hasMember perpetrator alliedWith Problem-Centric Access to Knowledge Context Filtering Policy-Based Access

  18. Knowledge Model Mapping • Mapping allows for the connection of knowledge models • Mapping seamlessly bridges knowledge models to enable more comprehensive discovery across data and disciplines

  19. Lineage

  20. Lineage Search

  21. Lineage Search Reporting Metadata and Ontology

  22. Lineage Search Reporting AutomatedRe-Processing

  23. Lineage Search Reporting AutomatedRe-Processing Modeling Metadata and Ontology

  24. DemonstrationImported Ontology BrowsingOntology SearchingAnnotation and ClassificationSearching for Relationships

  25. SummaryImported Ontology for Browsingand Classifying DataAnnotated and Added to the Ontology by Creating RelationshipsSearched for Relationships AcrossIndividuals and Sets

  26. Analytics Analytics Analytics Analytics Analytics Integration InputPipeline Filters Abstraction and Ontology Mapping Rules Conditioning AbstractedKnowledge Model Repository Database Triple Store Other

  27. Clients and Portals Dynamically-EvolvingKnowledge Model API API GeoTagger ThingFinder FactFinder TASKSERVER TASKSERVER PUBLISHER SERVER • GeoTags Documents • Outputs XML Georeferences • Analyzes Documents • Extracts & Outputs Entities • Maintains Semantic Structure • Manages Workflow • Tracks & Records Lineage Distributed Data Sources LegacySystems Internet E-Mails CRM/ECM Sensor Data(Non-Text) Databases Live Feeds

  28. DemonstrationEntity Extraction Using Inxight and MetaCartaProjects and Saved SearchesRule-Based Inference to Discover Inferred RelationshipsBrowsing Extracted Entities,Facts and Locations

  29. SummaryTask Network Can Automate Sequential Processing and ExtractionInference Rules Inherent to OWL ExposeNon-Obvious RelationshipsSynergy Between Knowledge Modelsand Analytics

  30. Thetus Publisher Knowledge Modeling System • Infrastructure to connect applications and portals to filtered views of knowledge and information across sources • Tracks lineage to record history of information and knowledge • Facilitates rich search – for similar, related data and finds connections between seemingly unrelated sources • Allows for community and individual knowledge evolution, knowledge sharing and re-use • Supports automated processing using analytics (i.e. Inxight and MetaCarta) and connects derived information intothe knowledge base • Encourages risk and predictive modeling of complex problems www.thetus.com

  31. Questions and Answers(Please Submit Questions)

  32. This Presentation Powered By: For more information on Macromedia Breeze for your agency contact Carahsoft: 888-MACR-GSA(888-622-7472) macromedia@carahsoft.com Contact Information • To get more information on Thetus products call • Charles France at • 703-871-8568 • charles.france@carahsoft.com • An archive of this presentation will be available at • www.carahsoft.com

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