Research Article
Modelling and Reasoning About Context-Aware Agents over Heterogeneous Knowledge Sources
321 downloads
@INPROCEEDINGS{10.1007/978-3-319-56357-2_1, author={Hafiz Mahfooz Ul Haque and Abdur Rakib and Ijaz Uddin}, title={Modelling and Reasoning About Context-Aware Agents over Heterogeneous Knowledge Sources}, proceedings={Context-Aware Systems and Applications. 5th International Conference, ICCASA 2016, Thu Dau Mot, Vietnam, November 24-25, 2016, Proceedings}, proceedings_a={ICCASA}, year={2017}, month={6}, keywords={Context-aware agents Multi-context system Defeasible reasoning Ontology}, doi={10.1007/978-3-319-56357-2_1} }- Hafiz Mahfooz Ul Haque
Abdur Rakib
Ijaz Uddin
Year: 2017
Modelling and Reasoning About Context-Aware Agents over Heterogeneous Knowledge Sources
ICCASA
Springer
DOI: 10.1007/978-3-319-56357-2_1
Abstract
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.
Copyright © 2016–2024 EAI
