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Building Wordnet Based Ontologies with Expert Knowledge

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9561))

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Abstract

The article presents the principles of creating wordnet based ontologies which represent general knowledge about the world as well as specialist expert knowledge. Ontologies of this type are a new method of organizing lexical resources. They possess a wordnet structure expanded by domain relations and synsets ascribed to hierarchical structures representing general domain and local-context conceptualizations. Ontologies of this type are handy tools for indexers and searchers working on massive content resources such as internet services, repositories of digital images or e-learning repositories.

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Notes

  1. 1.

    Getty AAT is a structured vocabulary (ca. 51 000 concepts) providing terminology from art, architecture, and material culture.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Adam Mickiewicz University, ul. Umultowska 87, 61-614, Poznań, Poland

    Jacek Marciniak

Authors
  1. Jacek Marciniak
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Correspondence to Jacek Marciniak .

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Editors and Affiliations

  1. Adam Mickiewicz University , Poznań, Poland

    Zygmunt Vetulani

  2. Deutsches Forschungszentrum f. Künstl.Intelligenz (DFKI GmbH), Saarbrücken, Saarland, Germany

    Hans Uszkoreit

  3. Adam Mickiewicz University , Poznań, Poland

    Marek Kubis

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Marciniak, J. (2016). Building Wordnet Based Ontologies with Expert Knowledge. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_19

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  • DOI: https://doi.org/10.1007/978-3-319-43808-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43807-8

  • Online ISBN: 978-3-319-43808-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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