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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2012: Knowledge Engineering and Knowledge Management pp 237–251Cite as

ONSET: Automated Foundational Ontology Selection and Explanation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7603))

Abstract

It has been shown that using a foundational ontology for domain ontology development is beneficial in theory and practice. However, developers have difficulty with choosing the appropriate foundational ontology, and why. In order to solve this problem, a comprehensive set of criteria that influence foundational ontology selection has been compiled and the values for each parameter determined for DOLCE, BFO, GFO, and SUMO. This paper-based analysis is transformed into an easily extensible algorithm and implemented in the novel tool ONSET, which helps a domain ontology developer to choose a foundational ontology through interactive selection of preferences and scaling of importance so that it computes the most suitable foundational ontology for the domain ontology and explains why this selection was made. This has been evaluated in an experiment with novice modellers, which showed that ONSET greatly assists in foundational ontology selection.

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Authors and Affiliations

  1. School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal and UKZN/CSIR-Meraka Centre for Artificial Intelligence Research, South Africa

    Zubeida Khan & C. Maria Keet

Authors
  1. Zubeida Khan
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  2. C. Maria Keet
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Editor information

Editors and Affiliations

  1. Vrije Universiteit, Amsterdam, The Netherlands

    Annette ten Teije

  2. Institute of Computer Science and Business Informatics, University of Mannheim, Germany

    Johanna Völker  & Heiner Stuckenschmidt  & 

  3. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Siegfried Handschuh

  4. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Mathieu d’Acquin  & Andriy Nikolov  & 

  5. Institut de Recherche en Informatique, Université de Toulouse, 118, route de Narbonne, 31062, Toulouse Cedex 4, France

    Nathalie Aussenac-Gilles

  6. Université de Toulouse, France

    Nathalie Hernandez

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© 2012 Springer-Verlag Berlin Heidelberg

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Khan, Z., Keet, C.M. (2012). ONSET: Automated Foundational Ontology Selection and Explanation. In: ten Teije, A., et al. Knowledge Engineering and Knowledge Management. EKAW 2012. Lecture Notes in Computer Science(), vol 7603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-33876-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33875-5

  • Online ISBN: 978-3-642-33876-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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