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 Has no single representation Need automated processing, notification and search Need recorded history of information Want to do predictive modeling

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

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

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

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

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

Applications and Portals JSP SERVER.NET SERVER WAN GIS/Mapping ToolsAlertsAnalyticsCustom ClientsWeb Applications THETUS PUBLISHER  Servers  Software Development Kit  Integration Tools PUBLISHER SERVER Dynamically-Evolving Knowledge Models REASONERS AND INFERENCE ENGINES DATABASES TRIPLE STORES OTHER REPOSITORIES ANALYTICS  ENTITY EXTRACTION  GEO-TAGGING LIVE SOURCES  SENSOR DATA  RSS FEEDS TASK SERVERS

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

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

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

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

 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

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

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

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

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

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

Lineage

Search

Lineage Reporting Search Metadata and Ontology

Lineage Automated Re-Processing Reporting Search

Lineage Automated Re-Processing Reporting Search Modeling Metadata and Ontology

Demonstration Imported Ontology Browsing Ontology Searching Annotation and Classification Searching for Relationships

Summary Imported Ontology for Browsing and Classifying Data Annotated and Added to the Ontology by Creating Relationships Searched for Relationships Across Individuals and Sets

Analytics Integration Input Pipeline Conditioning Analytics Database Triple Store Other Database Triple Store Other Abstracted Knowledge Model Abstraction and Ontology Mapping Rules Abstraction and Ontology Mapping Rules Filters Repository

API Internet sCRM/ECM Sensor Data (Non-Text) Databases Live Feeds Legacy Systems Distributed Data Sources GeoTagger  GeoTags Documents  Outputs XML Georeferences  GeoTags Documents  Outputs XML Georeferences PUBLISHER SERVER TASK SERVER  Maintains Semantic Structure  Manages Workflow  Tracks & Records Lineage  Maintains Semantic Structure  Manages Workflow  Tracks & Records Lineage  Analyzes Documents  Extracts & Outputs Entities  Analyzes Documents  Extracts & Outputs Entities FactFinderThingFinder Dynamically-Evolving Knowledge Model ClientsandPortals

Demonstration Entity Extraction Using Inxight and MetaCarta Projects and Saved Searches Rule-Based Inference to Discover Inferred Relationships Browsing Extracted Entities, Facts and Locations

Summary Task Network Can Automate Sequential Processing and Extraction Inference Rules Inherent to OWL Expose Non-Obvious Relationships Synergy Between Knowledge Models and Analytics

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 into the knowledge base  Encourages risk and predictive modeling of complex problems

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