Skip to main content
SpringerLink
Log in

YAM++ : A Multi-strategy Based Approach for Ontology Matching Task

  • Conference paper
Knowledge Engineering and Knowledge Management (EKAW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7603))

Abstract

In this paper, we present the capability of our ontology matching tool YAM++. We show that YAM++ is able to discover mappings between entities of given two ontologies by using machine learning approach. Besides, we also demonstrate that if the training data are not available, YAM++ can discover mappings by using information retrieval techniques. Finally, we show that YAM++ is able to deal with multi-lingual ontologies matching problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tversky, A.: Features of similarity. Psychological Review, 327–352 (1977)

    Google Scholar 

  2. Meilicke, C.: Alignment incoherence in ontology matching. PhD Thesis, University of Mannheim, Chair of Artificial Intelligence (2011)

    Google Scholar 

  3. Ngo, D., Bellahsene, Z., Coletta, R.: A Flexible System for Ontology Matching. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 79–94. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  4. Ngo, D.H., Bellahsene, Z., Coletta, R.: A generic approach for combining linguistic and context profile metrics in ontology matching. In: ODBASE, pp. 800–807 (2011)

    Google Scholar 

  5. Ngo, D.H., Bellahsene, Z., Coletta, R.: Yam++ results for oaei 2011. In: OM (2011)

    Google Scholar 

  6. Euzenat, J., Shvaiko, P.: Ontology matching. Springer (2007)

    Google Scholar 

  7. Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity flooding: A versatile graph matching algorithm and its application to schema matching. In: ICDE, pp. 117–128 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. INRIA, LIRMM, Université Montpellier 2, Montpellier, France

    DuyHoa Ngo & Zohra Bellahsene

Authors
  1. DuyHoa Ngo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zohra Bellahsene
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Vrije Universiteit, Amsterdam, The Netherlands

    Annette ten Teije

  2. Institute of Computer Science and Business Informatics, University of Mannheim, Germany

    Johanna Völker  & Heiner Stuckenschmidt  & 

  3. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Siegfried Handschuh

  4. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Mathieu d’Acquin  & Andriy Nikolov  & 

  5. Institut de Recherche en Informatique, Université de Toulouse, 118, route de Narbonne, 31062, Toulouse Cedex 4, France

    Nathalie Aussenac-Gilles

  6. Université de Toulouse, France

    Nathalie Hernandez

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ngo, D., Bellahsene, Z. (2012). YAM++ : A Multi-strategy Based Approach for Ontology Matching Task. In: ten Teije, A., et al. Knowledge Engineering and Knowledge Management. EKAW 2012. Lecture Notes in Computer Science(), vol 7603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33876-2_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33875-5

  • Online ISBN: 978-3-642-33876-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation