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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2011: Knowledge-Based and Intelligent Information and Engineering Systems pp 210–219Cite as

Semantic Distance Measure between Ontology Concept’s Attributes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6881))

Abstract

In this paper we present our work on ontology alignment. Careful literature research has brought us to the point where we have noticed vaguenesses of previously developed approaches. The basic problem is lack of interest in elementary building blocks of ontological concepts, which are concepts’ attributes. In our work we concentrate on defining these atomic elements and analyzing how their characteristics can influence the whole process of aligning ontologies. We claim that expanding attributes with explicit semantics increases reliability of finding mappings between ontologies - designating partial alignments between concepts built around mapping their structures treated as a combination of attributes and their semantics can improve the amount of information that can be transformed thanks with found mappings. We believe that our approach moves the focus from aligning simple labels of concepts to aligning information about the real world they express.

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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. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of omputer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Mawson Lakes, 5095, Adelaide, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Pietranik, M., Nguyen, N.T. (2011). Semantic Distance Measure between Ontology Concept’s Attributes. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23851-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-23851-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23850-5

  • Online ISBN: 978-3-642-23851-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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