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)


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
Early online date5 Sept 2017
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 (,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited..


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


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