Creating Context-Aware Software Agents

Chen, Harry; Tolia, Sovrin; Sayers, Craig; Finin, Timothy W.; Joshi, Anupam

doi:10.1007/978-3-540-45173-0_15

Cited by 16 publications

(12 citation statements)

References 7 publications

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“…While these systems have made progress in various aspects of pervasive computing, they offer only weak support for knowledge sharing and context reasoning. A significant source of this weakness is that they are not built on a foundation of common ontologies with explicit semantic representation [5]. For example, in previous systems [3,8,24], user location information is widely used for guiding the adaptive behavior of the systems.…”

Section: Shortcomings Of the Previous Systemsmentioning

confidence: 99%

An Ontology for Context-Aware Pervasive Computing Environments

Chen

Finin

Joshi

2005

Self Cite

167

207

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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, 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.

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Section: Shortcomings Of the Previous Systemsmentioning

confidence: 99%

An Ontology for Context-Aware Pervasive Computing Environments

Chen

Finin

Joshi

2005

Self Cite

167

207

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“…These policies will be expressed using the XML/OWL language syntax following the CoBrA ontology 11 . In order to detect the presence of users, we will label user devices and clothing with RFID tags, similar to the approach used in the CoolAgent RS [4] system. We are planning to deploy a number of RFID readers in our prototype environment, for example, placing readers next to the meeting room's door and underneath the tables in the meeting room.…”

Section: A Prototype System Designmentioning

confidence: 99%

“…Although the research of these systems have made tremendous progress in advancing pervasive computing, the resulting implementations, however, have weaknesses in supporting knowledge sharing and context reasoning due to lacking an explicit representation of context on- * This work was partially supported by DARPA contract F30602-97-1-0215, Hewlett Packard, NSF award 9875433, and NSF award 0209001. tologies [3,4].…”

Section: Introductionmentioning

confidence: 99%

Using OWL in a Pervasive Computing Broker

Chen¹,

Finin²,

Joshi³

2005

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Computing is moving toward a pervasive context-aware environment in which agents with limited resources will require external support to help them become context-aware. In this paper, we describe an agent based architecture called Context Broker Architecture (CoBrA) to help these agents to acquire, reason about and share context knowledge. A key component in our architecture is an explicit context ontology defined using the Web Ontology Language (OWL). This ontology models the basic concepts of people, agents, places, and presentation events. We also describe a use case scenario and prototype design of CoBrA in an intelligent meeting room environment.

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“…These systems have made progress in various aspects of pervasive computing but are weak in supporting knowledge sharing and context reasoning. A significant source of this weakness is their lack a common ontology with explicit semantic representation [6,5].…”

Section: Related Workmentioning

confidence: 99%

Semantic Web in a Pervasive Context-Aware Architecture

Chen¹,

Finin²,

Joshi³

2005

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This document describes a new approach that explores the use of Semantic Web languages in building an architecture for supporting context-aware systems. This new architecture called Context Broker Architecture (CoBrA) differs from other architectures in using the Web Ontlogy Language OWL for modeling ontologies of context and for supporting context reasoning. Central to our architecture is a broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users. We also describe the use of CoBrA and its associated ontologies in prototyping an intelligent meeting room.

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Creating Context-Aware Software Agents

Cited by 16 publications

References 7 publications

An Ontology for Context-Aware Pervasive Computing Environments

An Ontology for Context-Aware Pervasive Computing Environments

Using OWL in a Pervasive Computing Broker

Semantic Web in a Pervasive Context-Aware Architecture

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