Components for Ontology Driven Information Push

Abstract

The CODIp program provides frameworks and components for intelligent processing of information based on its semantics. UML technology was leveraged to provide knowledge engineering capability from existing resources. UML was also developed as an ontology definition technology through work with the Object Management Group (OMG). A variety of Ontological processing components and services were developed that can bring built-in knowledge processing capability to intelligent information system applications. Four primary applications were developed & supported by these technologies. Duet was developed to support visualization, application and management of ontologies using the UML/MOF engineering standard. Kage provides an application framework that supports analysis, translation, and repository functionality. An agent-based, Ontology Driven Knowledge Dissemination (ODKD) system was developed that implements a semantics driven publish and subscribe information distribution systems. And, lastly, Artic ontology mapping service was developed which supports concurrent use of multiple ontologies by finding and codifying relationships between their concepts.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2005
Accession Number
ADA431001

Entities

People

  • Lewis L. Hart

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Intelligence
  • Commerce
  • Computer Programming
  • Computer Science
  • Computers
  • Data Analysis
  • Electronic Commerce
  • Engineering
  • Engineers
  • Information Systems
  • Ontologies
  • Relational Database Management Systems
  • Self Organizing Systems
  • Standards
  • Storage
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.