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Reconciling Implicit and Evolving Ontologies for Semantic Interoperability

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Part of the book series: Whitestein Series in Software Agent Technologies ((WSSAT))

Abstract

This paper addresses current approaches to the goal of semantic interoperability on the web and presents new research directions. We critically discuss the existing approaches, including RDF, SHOE, PROMPT and Chimaera, and identify the most effective elements of each. In our opinion, the ability of these primarily closed solutions to succeed on a global web scale is limited. In general, a unilateral solution to the problem on a global level seems unlikely in the foreseeable future. We review and contrast our own research experiments AReXS and CASA and suggest that as yet unad-dressed issues should be considered, such as reconciling implicit ontologies and evolving ntologies and task-oriented analysis. We also consider the role of semantic interoperation in multi-agent systems and describe strategies for achieving this via the ROADMAP methodology, with emphasis on building and assuring knowledge models.

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© 2005 Birkhäuser Verlag

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Lister, K., Hristozova, M., Sterling, L. (2005). Reconciling Implicit and Evolving Ontologies for Semantic Interoperability. In: Tamma, V., Cranefield, S., Finin, T.W., Willmott, S. (eds) Ontologies for Agents: Theory and Experiences. Whitestein Series in Software Agent Technologies. Birkhäuser Basel. https://doi.org/10.1007/3-7643-7361-X_6

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  • DOI: https://doi.org/10.1007/3-7643-7361-X_6

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-7643-7237-8

  • Online ISBN: 978-3-7643-7361-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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