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

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

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
11 Downloads (Pure)

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 languageEnglish
Pages (from-to)13–26
Number of pages14
JournalMobile Networks and Applications
Volume23
Early online date5 Sept 2017
DOIs
Publication statusPublished - Feb 2018
Externally publishedYes

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

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