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Modelling and reasoning about context-aware agents over heterogeneous knowledge sources

Ul Haque, Hafiz Mahfooz; Rakib, Abdur; Uddin, Ijaz

Authors

Hafiz Mahfooz Ul Haque

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

Ijaz Uddin



Contributors

P Cong Vinh
Editor

L Tuan Anh
Editor

N Loan
Editor

W Vongdoiwang Siricharoen
Editor

Abstract

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017. This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. The framework relies on distributed ontologies and allows us to model context-aware agents which reason using rules that are derived from ontologies using the notion of multi-context systems. The use of the proposed framework is illustrated using a simple system developed from ontologies considering three different smart environment domains.

Citation

Ul Haque, H. M., Rakib, A., & Uddin, I. (2017). Modelling and reasoning about context-aware agents over heterogeneous knowledge sources. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 193, 1-11. https://doi.org/10.1007/978-3-319-56357-2_1

Journal Article Type Conference Paper
Publication Date Jan 1, 2017
Journal Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Print ISSN 1867-8211
Publisher Springer Verlag (Germany)
Peer Reviewed Peer Reviewed
Volume 193
Pages 1-11
DOI https://doi.org/10.1007/978-3-319-56357-2_1
Keywords context-aware agents, multi-context system, defeasible reasoning, ontology
Public URL https://uwe-repository.worktribe.com/output/889324
Publisher URL http://dx.doi.org/10.1007/978-3-319-56357-2_1

This file is under embargo due to copyright reasons.






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