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Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components

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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

Ontology integration is the task of combining a set of ontologies into a single ontology. Such ontology should contain all the knowledge expressed in the partial ontologies, without all the potential conflicts between them being resolved. In the literature, one may find several approaches to this problem, however, to the best of our knowledge most of them assume that the input ontologies remain static in time, therefore there is no risk of the outcome of integration becoming stale. If one of the partial ontologies changes over time (evolve) then the outcome of its integration may become obsolete. Therefore, a necessity of performing ontology integration once again appears. However, such a procedure may be very time and resource consuming. In this paper, we propose a solution for this issue. We claim that it is possible to update the integrated ontology based solely on a description of changes applied to the input ontologies, acquiring a similar quality as if the ontology integration be conducted from scratch.

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Author information

Authors and Affiliations

  1. Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego, 2750-370, Wroclaw, Poland

    Adrianna Kozierkiewicz, Marcin Pietranik & Mateusz Olsztyński

  2. School of Computer Science and Engineering, International University, Ho Chi Minh City, Vietnam

    Loan T. T. Nguyen

  3. Vietnam National University, Ho Chi Minh City, Vietnam

    Loan T. T. Nguyen

Authors
  1. Adrianna Kozierkiewicz
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  2. Marcin Pietranik
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  3. Mateusz Olsztyński
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  4. Loan T. T. Nguyen
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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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Kozierkiewicz, A., Pietranik, M., Olsztyński, M., Nguyen, L.T.T. (2022). Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components. 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_5

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  • DOI: https://doi.org/10.1007/978-3-031-16014-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16013-4

  • Online ISBN: 978-3-031-16014-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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