Semantic Web Technologies for Aerospace

Abstract

Emerging Semantic Web technology such as the DARPA Agent Markup Language (DAML) will support advanced semantic interoperability in the next generation of aerospace architectures. The basic idea of DAML is to mark up artifacts (e.g. documents sensors databases legacy software) so that software agents can interpret and reason with the information DAML will support the representation of ontologies (which include taxonomies of terms and semantic relations) via extensions to XML, XML alone is not sufficient for agents because it provides only syntactic interoperability that depends on implicit semantic agreements DAML is the official starting point for the Web Ontology Language an emerging standard from the World Wide Web Consortium. This paper will cover promising aerospace applications and significant challenges for Semantic Web technologies Potential applications include higher-level information fusion collaboration in both operational and engineering environments and rapid systems integration. The challenges that will be discussed include the complexity of ontology development automation of markup semantic mismatch between current object-oriented models and Semantic Web ontologies scalability issues related to reasoning with large knowledge bases and technology transition issues. The paper will explain ongoing research that is focused on addressing these challenges.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA452627

Entities

People

  • Jeff Heflin
  • Paul Kogut

Organizations

  • Lehigh University

Tags

Communities of Interest

  • C4I
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Command And Control
  • Computer Science
  • Computers
  • Engineering
  • Information Systems
  • Language
  • Models
  • Ontologies
  • Reasoning
  • Standards
  • Synthetic Aperture Radar
  • Translations
  • United States
  • Web Applications
  • Web Service

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.

Technology Areas

  • Space