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International Joint Conference on Ambient Intelligence

AmI 2013: Ambient Intelligence pp 249–254Cite as

Harnessing Mathematics for Improved Ontology Alignment

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8309))

Abstract

Given a domain of interest, an ontology provides a formal specification of the concepts and relationships in this domain. An alignment identifies a semantic connection between the concepts and relationships of ontologies purporting to describe the same knowledge. The majority of approaches to ontology alignment take a general view and rely on terminological and structural techniques to handle the widest possible class of ontologies. Due to the fuzzy nature of concepts and the variations in their representations, this matching process is often complicated. One area that should provide a more solid foundation for comparison is mathematical concepts. Mathematical concepts are covered by numerous ontologies, making them a potentially important basis for comparison. One part of this doctoral work is to investigate the potential of using mathematical concepts to improve ontology alignment.

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Author information

Authors and Affiliations

  1. Centrum Wiskunde & Informatica, 1098 XG, Amsterdam, The Netherlands

    Chau Do & Eric J. Pauwels

Authors
  1. Chau Do
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  2. Eric J. Pauwels
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Middlesex University, London, UK

    Juan Carlos Augusto

  2. Fraunhofer IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Rem Collier

  4. Delft University of Technology, 2628 CE, Delft, The Netherlands

    David Keyson

  5. Department of Computer Engineering, Boğaziçi University, Bebek, 34342, Istanbul, Turkey

    Albert Ali Salah

  6. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore

    Ah-Hwee Tan

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© 2013 Springer International Publishing Switzerland

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Do, C., Pauwels, E.J. (2013). Harnessing Mathematics for Improved Ontology Alignment. In: Augusto, J.C., Wichert, R., Collier, R., Keyson, D., Salah, A.A., Tan, AH. (eds) Ambient Intelligence. AmI 2013. Lecture Notes in Computer Science, vol 8309. Springer, Cham. https://doi.org/10.1007/978-3-319-03647-2_20

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  • DOI: https://doi.org/10.1007/978-3-319-03647-2_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03646-5

  • Online ISBN: 978-3-319-03647-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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