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• W2740636698 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. 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." @default.
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• W2740636698 date "2017-09-05" @default.
• W2740636698 modified "2023-10-03" @default.
• W2740636698 title "Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources" @default.
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• W2740636698 doi "https://doi.org/10.1007/s11036-017-0899-5" @default.
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