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ONTOLOGY LEARNING USING WORDNET LEXICON

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Computational Methods

Abstract

Current Semantic Web community has popularized ontology research. However, ontology building by hand has proven to be a very hard and error-prone task and become the bottleneck of ontology acquiring process. WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics. The paper proposes an ontology learning approach, which uses WordNet lexicon resources to build a standard OWL ontology model. The approach will help the automation of ontology building and be very useful in ontology-based applications.

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Author information

Authors and Affiliations

  1. School of Information, Renmin University of China, Beijing, China, 100872

    H. Hu & X.Y. Du

  2. Open Symbol Computation and Knowledge Engineering Laboratory of State Education Committee, College of Computer Science and Technology, Jilin University, Changchun, China, 130012

    H. Hu, D.Y. Liu & J.H. Ouyang

Authors
  1. H. Hu
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  2. X.Y. Du
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  3. D.Y. Liu
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  4. J.H. Ouyang
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Editor information

Editors and Affiliations

  1. National University of Singapore, Singapore

    G.R. LIU

  2. National University of Singapore, Singapore

    V.B.C. TAN

  3. Hunan University, P.R. China

    X. HAN

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© 2006 Springer

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Hu, H., Du, X., Liu, D., Ouyang, J. (2006). ONTOLOGY LEARNING USING WORDNET LEXICON. In: LIU, G., TAN, V., HAN, X. (eds) Computational Methods. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-3953-9_36

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  • DOI: https://doi.org/10.1007/978-1-4020-3953-9_36

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-3952-2

  • Online ISBN: 978-1-4020-3953-9

  • eBook Packages: EngineeringEngineering (R0)

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