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Foundations of ontology-based MAS methodologies
Faculty of Commerce - Papers (Archive)
  • Ghassan Beydoun, University of Wollongong
  • Numi Tran, University of New South Wales
  • Graham C. Low, University of New South Wales
  • Brian Henderson-Sellers, University of Technology, Australia
RIS ID
16705
Publication Date
1-1-2006
Publication Details

Beydoun, G., Tran, N., Low, G. & Henderson-Sellers, B. (2006). Foundations of ontology-based MAS methodologies. In Agent-Oriented Information Systems Workshop, 26 Jul & 27 Oct, Utrecht, Netherlands and Klagenfurt, Austria. Lecture Notes in Computer Science, 3529 111-123.

Abstract
Support for software extensibility, interoperability and reuse are critical concerns for long term commercial viability of any MAS and they underpin the eventual adoption of agent technology by industry. Existing AOSE methodologies lack adequate support for these concerns. We argue in this paper that a methodology that uses ontologies as a central modelling artifact, beyond the analysis phase, is better equipped to address those concerns. We observe that the influence of ontologies in Knowledge-based Systems (KBS) methodologies extended well beyond the initial analysis phase, leading to domain-independent KBS methodologies in the ’90s. We reflect on those lessons and on the roles of ontologies in KBS development. We analyse and identify which of those roles can be transferred to an ontology-based MAS development methodology. We identify ontology-related inter-dependencies between the analysis and design phases. We produce a set of recommendations towards creating a domain-independent MAS methodology that incorporates ontologies beyond the analysis phase. We identify the essential features and sketch the characteristic tasks within both the analysis and design phases.
Citation Information
Ghassan Beydoun, Numi Tran, Graham C. Low and Brian Henderson-Sellers. "Foundations of ontology-based MAS methodologies" (2006) p. 111 - 123
Available at: http://works.bepress.com/gbeydoun/15/