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

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

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Authors

Ijaz Uddin

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Rakib Abdur Rakib.Abdur@uwe.ac.uk
Senior Lecturer in Mobile Security

Hafiz Mahfooz Ul Haque

Phan Cong Vinh



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.

Citation

Uddin, I., Rakib, A., Haque, H. M. U., & Vinh, P. C. (2018). Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources. Mobile Networks and Applications, 23(1), 13-26. https://doi.org/10.1007/s11036-017-0899-5

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 Mar 29, 2024
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

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