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Preliminary Experimental Results of the Multi-attribute and Logic-Based Ontology Alignment Method

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8083))

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Abstract

This paper presents partial results of our novel method of ontology alignment, which is based on processing varying semantics of attributes within concepts. Following our previous publications in which we presented well grounded theoretical foundations of the alignment framework, we have created custom built implementation. This paper is an overview of the preliminary experimental results we ware able to gather. We explain the most important problems we encountered while preparing test methodology, describe used input data and give straight comparison to previously used ontology mapping verification procedures.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marcin Pietranik & Ngoc Thanh Nguyen

Authors
  1. Marcin Pietranik
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  2. Ngoc Thanh Nguyen
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Editor information

Editors and Affiliations

  1. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Costin Bǎdicǎ

  2. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

  3. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Marius Brezovan

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Pietranik, M., Nguyen, N.T. (2013). Preliminary Experimental Results of the Multi-attribute and Logic-Based Ontology Alignment Method. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_23

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  • DOI: https://doi.org/10.1007/978-3-642-40495-5_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40494-8

  • Online ISBN: 978-3-642-40495-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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