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Ontology Design and Its Application in the Petroleum Remediation Domain

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Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2112))

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Abstract

The purpose of this paper is to suggest a process for ontology design and its application. Current knowledge modeling methodologies tend to focus on the particular task, which makes them difficult to be reused. In this paper, we propose three different ontology models suitable for modeling large scale type domains. We apply the models to the problem domain of petroleum waste management, and discuss knowledge representation at the different levels of ontologies.

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Reference

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Author information

Authors and Affiliations

  1. Faculty of Engineering, University of Regina, Saskatchewan, Canada, S4S 0A2

    Lin-Li Chen

  2. Department of Computer science, University of Regina, Saskatchewan, Canada, S4S 0A2

    Christine W. Chan

Authors
  1. Lin-Li Chen
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  2. Christine W. Chan
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Editor information

Editors and Affiliations

  1. CSIRO Mathematical and Information Sciences, 723 Swanston Street, Carlton, VIC 3053, Australia

    Ryszard Kowalczyk

  2. School of Computer Science and Information Technology, RMIT University, GPO Box 2476V, Melbourne, VIC 3001, Australia

    Seng Wai Loke

  3. Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden

    Nancy E. Reed

  4. CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia

    Graham J. Williams

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© 2001 Springer-Verlag Berlin Heidelberg

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Chen, LL., Chan, C.W. (2001). Ontology Design and Its Application in the Petroleum Remediation Domain. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_3

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  • DOI: https://doi.org/10.1007/3-540-45408-X_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42597-7

  • Online ISBN: 978-3-540-45408-3

  • eBook Packages: Springer Book Archive

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