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A Consensus-Based Method for Fuzzy Ontology Integration

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6422))

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Abstract

Ontology can be treated as the background of a knowledge-based system. Fuzzy ontologies in many cases seem to be more useful than non-fuzzy ontologies because of the possibility for distinguish the degrees to which concepts describe a real world, or relations between them. This paper includes a framework of consensus-based method for fuzzy ontology integration. For this aim a conception for fuzzy ontology definition is proposed and three problems for fuzzy ontology integration on concept and relation levels are presented. For these problems several algorithms have been proposed.

This paper was partially supported by Polish Ministry of Science and Higher Education under grant no. N N519 407437.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Poland

    Ngoc Thanh Nguyen

  2. University of Information Technology, Ho Chi Minh City, Vietnam

    Hai Bang Truong

Authors
  1. Ngoc Thanh Nguyen
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  2. Hai Bang Truong
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Nguyen, N.T., Truong, H.B. (2010). A Consensus-Based Method for Fuzzy Ontology Integration. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_51

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  • DOI: https://doi.org/10.1007/978-3-642-16732-4_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16731-7

  • Online ISBN: 978-3-642-16732-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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