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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2002: Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web pp 108–113Cite as

A Process Ontology

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2473))

Abstract

This paper describes an ontology for process representation. The ontology provides a vocabulary of classes and relations at a level above the primitive event-instance, object-instance and timepoint description. The design of this ontology balances two main concerns: to provide a concise set of useful abstractions of process, and to provide an adequate formal semantics for these abstractions. The aim of conciseness is to support knowledge authoring - ideally a domain expert should be able to author knowledge in the ontology - providing a sufficiently advanced toolset and interface has been implemented to support this task.

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References

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Author information

Authors and Affiliations

  1. Artificial Intelligence Applications Institute, University of Edinburgh, UK

    Stuart Aitken

  2. Cycorp Inc., 3721 Executive Center Drive, Austin, Texas, 78731

    Jon Curtis

Authors
  1. Stuart Aitken
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  2. Jon Curtis
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Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain

    Asunción Gómez-Pérez

  2. Intelligent Software Components, S.A. (iSOCO), Francisca Delgado, 11 - 2∘, 28108, Alcobendas, Madrid, Spain

    V. Richard Benjamins

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© 2002 Springer-Verlag Berlin Heidelberg

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Aitken, S., Curtis, J. (2002). A Process Ontology. In: Gómez-Pérez, A., Benjamins, V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. EKAW 2002. Lecture Notes in Computer Science(), vol 2473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45810-7_13

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  • DOI: https://doi.org/10.1007/3-540-45810-7_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44268-4

  • Online ISBN: 978-3-540-45810-4

  • eBook Packages: Springer Book Archive

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