Ijaz Uddin
Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources
Uddin, Ijaz; Rakib, Abdur; Haque, Hafiz Mahfooz Ul; Vinh, Phan Cong
Authors
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 |
Files
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