Skip to main content
SpringerLink
Log in
Book cover

European Semantic Web Symposium

ESWS 2004: The Semantic Web: Research and Applications pp 76–91Cite as

Ontology Mapping – An Integrated Approach

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3053))

Abstract

Ontology mapping is important when working with more than one ontology. Typically similarity considerations are the basis for this. In this paper an approach to integrate various similarity methods is presented. In brief, we determine similarity through rules which have been encoded by ontology experts. These rules are then combined for one overall result. Several boosting small actions are added. All this is thoroughly evaluated with very promising results.

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baader, F., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook (2003)

    Google Scholar 

  2. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)

    Article  Google Scholar 

  3. Bisson, G.: Why and how to define a similarity measure for object based representation systems. In: Towards Very Large Knowledge Bases, pp. 236–246 (1995)

    Google Scholar 

  4. Bouquet, P., Magnini, B., Serafini, L., Zanobini, S.: A SAT-based algorithm for context matching. Technical report, University of Trento, Trento, Italy (2003)

    Google Scholar 

  5. Calvanese, D., Giacomo, G.D., Lembo, D., Lenzerini, M., Rosati, R.: What to ask to a peer: Ontology-based query reformulation. In: Proc. of the 9th Int. Conf. on the Principles of Knowledge Representation and Reasoning, KR 2004 (2004)

    Google Scholar 

  6. Castano, S.V., Antonellis, M.G.D., Fugini, B., Pernici, C.: Schema analysis: Techniques and applications. ACM Trans. Systems 23(3), 286–333 (1998)

    Article  Google Scholar 

  7. Ding, Z., Peng, Y.: A probabilistic extension to ontology language owl. In: Proceedings of the 37th Hawaii International Conference On System Sciences (HICSS-37), Big Island, Hawaii (January 2004)

    Google Scholar 

  8. Do, H., Rahm, E.: Coma - a system for flexible combination of schema matching approaches. In: Proc. of the 28th VLDB Conference, Hong Kong, China (2002)

    Google Scholar 

  9. Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to map between ontologies on the semantic web. In: Proc. to the WWW-11, Honolulu, USA (2002)

    Google Scholar 

  10. Heaton, J.: Programming Neural Networks in Java (2002)

    Google Scholar 

  11. Levenshtein, I.V.: Binary codes capable of correcting deletions, insertions, and reversals. In: Cybernetics and Control Theory (1966)

    Google Scholar 

  12. Maedche, A., Motik, B., Silva, N., Volz, R.: Mafra - a mapping framework for distributed ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, p. 235. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  13. McCallum, A., Nigam, K., Ungar, L.H.: Efficient clustering of high-dimensional data sets with application to reference matching. In: Knowledge Discovery & Data Mining (2000)

    Google Scholar 

  14. McGuinness, D.L.: Conceptual modeling for distributed ontology environments. In: International Conference on Conceptual Structures, pp. 100–112 (2000)

    Google Scholar 

  15. Mitra, P., Wiederhold, G., Kersten, M.: A graph-oriented model for articulation of ontology interdependencies. In: Zaniolo, C., Grust, T., Scholl, M.H., Lockemann, P.C. (eds.) EDBT 2000. LNCS, vol. 1777, p. 86+. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  16. Noy, N.F., Musen, M.A.: Anchor-PROMPT: Using Non-Local Context for Semantic Matching. In: WS Ontologies & Information Sharing at IJCAI-2001, Seattle, USA (2001)

    Google Scholar 

  17. Quillan, M.R.: Word concepts: A theory and simulation of some basic capabilities. Behavioral Science 12, 410–430 (1967)

    Article  Google Scholar 

  18. Roddick, J., Hornsby, K., de Vries, D.: A unifying semantic distance model for determining the similarity of attribute values. In: Proc. of ACSC 2003, Adelaide, Australia (2003)

    Google Scholar 

  19. Rodr´ıguez, M., Egenhofer, M.: Determining semantic similarity among entity classes from different ontologies. IEEE Trans. on Knowledge and Data Eng. 15(2), 442–456 (2003)

    Article  Google Scholar 

  20. Rufai, R.: Similarity metric for UML models. Master’s thesis, King Fahd University of Petroleum and Minerals (2003)

    Google Scholar 

  21. Stumme, G., et al.: The Karlsruhe View on Ontologies. Technical report, University of Karlsruhe, Institute AIFB (2003)

    Google Scholar 

  22. Su, X.: A text categorization perspective for ontology mapping. Technical report, Norwegian University of Science and Technology, Norway (2002)

    Google Scholar 

  23. Van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Dept. of Computer Science, University of Glasgow (1979)

    Google Scholar 

  24. Weinstein, P.C., Birmingham, W.P.: Agent communication with differentiated ontologies. Technical Report CSE-TR-383-99, 7 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute AIFB, University of Karlsruhe,  

    Marc Ehrig & York Sure

Authors
  1. Marc Ehrig
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. York Sure
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., 95134, San Jose, CA, USA

    Christoph J. Bussler

  2. Next Generation Web Research Group, BT Group,, Adastral Park, Ipswich, UK

    John Davies

  3. DERI Innsbruck, University of Innsbruck, Austria

    Dieter Fensel

  4. Institute AIFB, Universität Karlsruhe, Germany

    Rudi Studer

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ehrig, M., Sure, Y. (2004). Ontology Mapping – An Integrated Approach. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds) The Semantic Web: Research and Applications. ESWS 2004. Lecture Notes in Computer Science, vol 3053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25956-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25956-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21999-6

  • Online ISBN: 978-3-540-25956-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation