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An ontology for context-aware pervasive computing environments

Published online by Cambridge University Press:  13 May 2004

HARRY CHEN ,
TIM FININ  and
ANUPAM JOSHI
HARRY CHEN
Affiliation:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA; e-mail: hchen4@cs.umbc.edu, finin@cs.umbc.edu, joshi@cs.umbc.edu
TIM FININ
Affiliation:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA; e-mail: hchen4@cs.umbc.edu, finin@cs.umbc.edu, joshi@cs.umbc.edu
ANUPAM JOSHI
Affiliation:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA; e-mail: hchen4@cs.umbc.edu, finin@cs.umbc.edu, joshi@cs.umbc.edu
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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.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 18 , Issue 3 , September 2003 , pp. 197 - 207
Copyright
© 2004 Cambridge University Press

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Footnotes

This work was partially supported by DARPA contract F30602-97-1-0215, NSF award 9875433, NSF award 0209001, and Hewlett Packard.