DLDB: Extending Relational Databases to Support Semantic Web Queries

Abstract

We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA451847

Entities

People

  • Jeff Heflin
  • Zhengxiang Pan

Organizations

  • Lehigh University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Commerce
  • Computer Science
  • Computers
  • Database Management Systems
  • Databases
  • Electronic Commerce
  • Hierarchies
  • Language
  • Models
  • Ontologies
  • Relational Database Management Systems
  • Relational Databases
  • Small Business
  • Storage
  • United States

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval