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Link to original content: https://doi.org/10.1007/978-3-642-17449-0_2
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A Framework for Ontology Evaluation

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Exploring the Grand Challenges for Next Generation E-Business (WEB 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 52))

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Abstract

The rapid growth in the number of ontologies has not met with the wide adoption of ontology in practice. Ontology evaluation can promote ontology use by facilitating the selection of a good ontology. Despite that a host of ontology evaluation methodologies are available, many of them are fragmentary and strongly tied to ontology development methodologies. Based on a review of extant ontology evaluation methods, we propose a framework for ontology evaluation. The framework provides a holistic view of ontology evaluation, suggesting both fundamental ontology dimensions and concrete criteria.

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Author information

Authors and Affiliations

  1. Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD, USA, 21250

    Jinie Pak & Lina Zhou

Authors
  1. Jinie Pak
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  2. Lina Zhou
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Editor information

Editors and Affiliations

  1. Department of Management Science and Systems, State University of New York at Buffalo, 14260, Buffalo, New York, NY, USA

    Raj Sharman

  2. Department of Management Science and Systems, State University of New York at Buffalo, School of Management, 14260, Buffalo, New York, NY, USA

    H. Raghav Rao

  3. Department of Information Systems, Arizona State University, 601G, 874606, Tempe, AZ, USA

    T. S. Raghu

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Pak, J., Zhou, L. (2010). A Framework for Ontology Evaluation. In: Sharman, R., Rao, H.R., Raghu, T.S. (eds) Exploring the Grand Challenges for Next Generation E-Business. WEB 2009. Lecture Notes in Business Information Processing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17449-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-17449-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17448-3

  • Online ISBN: 978-3-642-17449-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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