Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

Uddin, Ijaz; Rakib, Abdur; Haque, Hafiz Mahfooz Ul; Vinh, Phan Cong

Abstract

© 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed ontologies has been developed, which allows us to model context-aware agents using the notion of multi-context systems. Extracted rules can be annotated to match the users’ needs and to develop a preference model to support their preferences so as to provide a user with a more personalized services. The use of the proposed framework is illustrated using a simple fact-based preference model developed from ontologies considering two different smart environment domains.

• Journal Article Type: Article
• Acceptance Date: Jun 11, 2017
• Online Publication Date: Sep 5, 2017
• Publication Date: Feb 1, 2018
• Deposit Date: Jul 24, 2017
• Publicly Available Date: Oct 13, 2017
• Journal: Mobile Networks and Applications
• Print ISSN: 1383-469X
• Electronic ISSN: 1572-8153
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 1
• Pages: 13-26
• DOI: https://doi.org/10.1007/s11036-017-0899-5
• Keywords: context-aware agents, multi-context system, rule-based distributed reasoning, ontology, user preference
• Public URL: https://uwe-repository.worktribe.com/output/886208
• Publisher URL: https://doi.org/10.1007/s11036-017-0899-5
• Additional Information: Additional Information : The final publication is available at Springer via https://doi.org/10.1007/s11036-017-0899-5
• Contract Date: Jul 24, 2017