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Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources
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Journal Article
Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources
2018
Overview
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.
Publisher
Springer Nature B.V
Subject
