Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2025-01-03T14:30:18.946Z Has data issue: false hasContentIssue false
  • English
  • Français

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: [email protected], [email protected], [email protected]
TIM FININ
Affiliation:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA; e-mail: [email protected], [email protected], [email protected]
ANUPAM JOSHI
Affiliation:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA; e-mail: [email protected], [email protected], [email protected]
Get access Rights & Permissions [Opens in a new window]

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.

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

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