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

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

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
• Deposit Date: Jun 16, 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