Skip to main content

Automatic Alignment of Ontology Eliminating the Probable Misalignments

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4185))

Abstract

This paper describes a novel approach of detecting misalignment at the time of aligning two different ontologies, and of eliminating the misalignments. Our objective is to reduce limitation of a specific technique of ontology alignment. Two aligned sets extracted by different alignment techniques from the same pair of ontology, are fed to the misalignment detection and elimination process to produce better alignments. Our experiments demonstrate that our method, taking advantage of misalignment detection and elimination, shows a good recall and precision.

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

Buying options

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. Do, H.-H., Rahm, E.: COMA - a system for flexible combination of schema matching approaches. In: Proc. of the 28th VLDB Conference, Hong Kong, August 2001, pp. 610–621 (2001)

    Google Scholar 

  2. Ehrig, M., Haase, P., Stojanovic, N., Hefke, M.: Similarity for ontologies – A Comprehensive Framework. In: 13th European Conference on Information Systems (May 2005)

    Google Scholar 

  3. Euzenat, J., Stuckenschmidt, H., Yatsevich, M.: Introduction to the Ontology Alignment Evaluation 2005 (October 2005) Portable Document Format. Available at, http://km.aifb.uni-karlsruhe.de/ws/intont2005/intontPresentationsOAEI.pdf [cited January 12, 2006]

  4. Euzenat, J.: An API for ontology alignment. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 698–712. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. Euzenat, J., Valtchev, P.: Similarity-based ontology alignment in OWL-lite. In: 16th European Conference on Artificial Intelligence, ECAI (November 2004)

    Google Scholar 

  6. http://wordnet.princeton.edu/man/wnstats.7WN

  7. Hu, W., Jian, N., Qu, Y., Wang, Y.: GMO: A graph matching for ontologies. In: K-Cap Workshop on Integrating Ontologies, Banff, Canada, pp. 41–48 (2005)

    Google Scholar 

  8. Jian, N., Hu, W., Cheng, G., Qu, Y.: FalconAO: Aligning ontologies with Falcon. In: KCap Workshop on Integrating Ontologies, Banff, Canada, pp. 85–91 (2005)

    Google Scholar 

  9. Langone, H., Haskell, B.R., Miller, G.A.: Annotating WordNet, Frontiers in Corpus Annotation 2004. In: HLT-NAACL Conference Workshop, pp. 63–69 (2004)

    Google Scholar 

  10. Levenshtein, I.V.: Binary Codes capable of correcting deletions, insertions, and reversals. Cybernetics and Control Theory 10(8), 707–710 (1966)

    MathSciNet  Google Scholar 

  11. Maedche, A., Staab, S.: Measuring similarity between ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 251–263. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Melnik, H., Garcia-Molina, Rahm, E.: Similarity flooding: A versatile graph matching algorithm. In: Proceedings of the International Conference on Data Engineering (ICDE), pp. 117–128 (2002)

    Google Scholar 

  13. Porter, M.F.: An Algorithm for Suffix Stripping. In: Jones, S., Karen, Willet, P. (eds.) Readings in Information Retrieval. Morgan Kaufmann, San Francisco (1997)

    Google Scholar 

  14. Resnik, P.: Using information content to evaluate semantic similarity in a taxonomy. In: Proc. 14th IJCAI, Montréal, Canada, pp. 448–453 (1995)

    Google Scholar 

  15. Silva, N., Rocha, J.: MAFRA – An ontology MApping FRAmework for the semantic web. In: Proc. 6th International Conference on Business Information Systems, Colorado Springs, USA (2003)

    Google Scholar 

  16. Su, X., Gulla, J.A.: Semantic enrichment for ontology mapping. In: Meziane, F., Métais, E. (eds.) NLDB 2004. LNCS, vol. 3136, pp. 217–228. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hanif, S.M., Seki, Y., Aono, M. (2006). Automatic Alignment of Ontology Eliminating the Probable Misalignments. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_22

Download citation

  • DOI: https://doi.org/10.1007/11836025_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38329-1

  • Online ISBN: 978-3-540-38331-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics