An ontology for context-aware pervasive computing environments

  • Authors:

  • Harry Chen;Tim Finin;Anupam Joshi

  • Affiliations:

  • Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA/ e-mail: hchen4&commat/cs.umbc.edu, finin&commat/cs.umbc.edu, joshi&commat/cs.umbc.edu;Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA/ e-mail: hchen4&commat/cs.umbc.edu, finin&commat/cs.umbc.edu, joshi&commat/cs.umbc.edu;Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA/ e-mail: hchen4&commat/cs.umbc.edu, finin&commat/cs.umbc.edu, joshi&commat/cs.umbc.edu

  • Venue:
  • The Knowledge Engineering Review
  • Year:
  • 2003

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Abstract

This document describes COBRA-ONT, an ontology for supporting pervasive context-aware systems. COBRA-ONT, expressed in the Web Ontology Language OWL, is a collection of ontologies for describing places, agents and events and their associated properties in an intelligent meeting-room domain. This ontology is developed as a part of the Context Broker Architecture (CoBrA), a broker-centric agent architecture that provides knowledge sharing, context reasoning and privacy protection supports for pervasive context-aware systems. We also describe an inference engine for reasoning with information expressed using the COBRA-ONT ontology and the ongoing research in using the DAML-Time ontology for context reasoning.