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Hybrid Approach to Designating Ontology Attribute Semantics

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Computational Collective Intelligence (ICCCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13501))

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Abstract

In our previous works, we have developed a novel approach to ontologies that provides a notion of attributes semantics. We have noticed that attributes by themselves contain no explicit meaning besides being a carrier of values, and gain such only if included within a concept. The biggest difficulty while creating and maintaining ontologies using our formal framework is asserting the consistency of vocabulary used to express the aforementioned semantics. The following article presents the method for automatic designating of attributes semantics in ontologies. We extend our previous work where a semi-automatic method has been proposed. The new approach utilizes Word2Vec similarity (incorporating the Genism library) and the WordNet lexical database. The experiments confirmed the usefulness of the framework by comparing attribute semantics created by experts manually and using the proposed solution.

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Notes

  1. 1.

    https://spacy.io/.

  2. 2.

    https://radimrehurek.com/gensim_3.8.3/models/word2vec.html.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology Wybrzeze, Wyspianskiego 27, 50-370, Wroclaw, Poland

    Bogumiła Hnatkowska, Adrianna Kozierkiewicz & Marcin Pietranik

  2. Faculty of Information Technology, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam

    Hai Bang Truong

Authors
  1. Bogumiła Hnatkowska
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  2. Adrianna Kozierkiewicz
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  3. Marcin Pietranik
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  4. Hai Bang Truong
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Corresponding author

Correspondence to Marcin Pietranik .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  3. University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Hnatkowska, B., Kozierkiewicz, A., Pietranik, M., Truong, H.B. (2022). Hybrid Approach to Designating Ontology Attribute Semantics. In: Nguyen, N.T., Manolopoulos, Y., Chbeir, R., Kozierkiewicz, A., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2022. Lecture Notes in Computer Science(), vol 13501. Springer, Cham. https://doi.org/10.1007/978-3-031-16014-1_28

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  • DOI: https://doi.org/10.1007/978-3-031-16014-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16013-4

  • Online ISBN: 978-3-031-16014-1

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