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A Multi-attribute and Multi-valued Model for Fuzzy Ontology Integrationon Instance Level

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7196))

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Abstract

Fuzzy ontology are often more useful than non-fuzzy ontologies in knowledge modeling owing to the possibility for representing the incompleteness and uncertainty. In this paper we present an approach to fuzzification on the instance level of ontology using multi-value and multi-attribute structure. A consensus-based method for fuzzy ontology integration is proposed.

This work was partially supported by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.01-2011.10 (2011-2013) and by Polish Ministry of Science and Higher Education under grant no. N N519 407437 (2009-2012).

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Author information

Authors and Affiliations

  1. VNU-HCM, University of Information Technology, Vietnam

    Hai Bang Truong & Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Poland

    Ngoc Thanh Nguyen

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

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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Truong, H.B., Nguyen, N.T. (2012). A Multi-attribute and Multi-valued Model for Fuzzy Ontology Integrationon Instance Level. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-28487-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28486-1

  • Online ISBN: 978-3-642-28487-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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