Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

Ijaz Uddin; Abdur Rakib; Hafiz Mahfooz Ul Haque; Phan Cong Vinh

doi:10.1007/s11036-017-0899-5

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

Ijaz Uddin, Abdur Rakib, Hafiz Mahfooz Ul Haque, Phan Cong Vinh

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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 Proteg´ e plug-in for rules extrac- ´
tion 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.

Original language	English
Pages (from-to)	13–26
Number of pages	14
Journal	Mobile Networks and Applications
Volume	23
Early online date	5 Sept 2017
DOIs	https://doi.org/10.1007/s11036-017-0899-5
Publication status	Published - Feb 2018
Externally published	Yes

Bibliographical note

© The Author(s) 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited..

Keywords

Context-aware agents
Multi-context system
Rule-based distributed reasoning
Ontology
· User preference

Access to Document

10.1007/s11036-017-0899-5Licence: CC BY

PublishedFinal published version, 2.41 MBLicence: CC BY

Cite this

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abstract = "This paper presents a conceptual frameworkand multi-agent model for context-aware decision supportin dynamic smart environments based on heterogeneousknowledge sources. A Proteg´ e plug-in for rules extrac- ´tion from distributed ontologies has been developed, whichallows us to model context-aware agents using the notion ofmulti-context systems. Extracted rules can be annotated tomatch the users{\textquoteright} needs and to develop a preference model tosupport their preferences so as to provide a user with a morepersonalized services. The use of the proposed framework is illustrated using a simple fact-based preference modeldeveloped from ontologies considering two different smartenvironment domains.",

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ER -

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

Abstract

Bibliographical note

Keywords

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