Movatterモバイル変換


[0]ホーム

URL:


Skip to main content

Advertisement

Springer Nature Link
Log in

IAOM: An Integrated Automatic Ontology Mapping Approach Towards Knowledge Integration

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 4688))

Included in the following conference series:

  • 1449Accesses

Abstract

Ontology mapping, with the purpose of finding the semantic correspondences between two existed overlapped ontologies, has been the key technique for solving the integration of ontology-based knowledge systems. Currently, ontology mapping is largely determined manually by domain experts, thus a time-consuming and labor-intensive process. In this paper, we propose an integrated automatic ontology mapping algorithm based on three dimensions of linguistics, structure and instance combining commonsense knowledge with domain knowledge from the systematic point of view. Experimental results on two course ontologies are presented, and show that the algorithm discovers semantic mappings with a high degree of accuracy.

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

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Kent, R.: The Information Flow Foundation for Conceptual Knowledge Organization. In: Dynamism and Stability in Knowledge Organization. In: Proceedings of the Sixth International ISKO Conference. Advances in Knowledge Organization, pp. 111–117 (2000)

    Google Scholar 

  2. Doan, A., Madhavan, J., Dongmingos, P., Halevy, A.: Learning to Map between Ontologies on the Semantic Web. In: Proceedings of the Eleventh International World Wide Web Conference, Honolulu, Hawaii, USA, pp. 662–673 (2002)

    Google Scholar 

  3. Kalfoglou, Y., Schorlemmer, M.: IF-Map: An Ontology Mapping Method Based on Information Flow Theory. Int. J. on Data Semantics 1, 98–127 (2003)

    Google Scholar 

  4. Macedche, A., Motik, B.: MAFRA-A Mapping Framework for Distributed Ontologies. Web Intelligence and Agent System 1, 235–248 (2003)

    Google Scholar 

  5. Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity Flooding: A Versatile Graph Matching Algorithm. In: Proc. of the 18th International Conference on Data Engineering (ICDE), San Jose,CA, pp. 117–128 (2002)

    Google Scholar 

  6. Mitra, P., Noy, N.F., Jaiswal, A.R.: OMEN: A Probabilistic Ontology Mapping Tool. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, Springer, Heidelberg (2004)

    Google Scholar 

  7. Wang, Y.G., Wu, J.N.: Knowledge Integration through Ontology Mapping Based on the Thesaurus and Multi-similarity Measure. In: Proceedings of the 3rd Asia-Pacific International Conference on Knowledge Management, Hong Kong, China (2006)

    Google Scholar 

  8. Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the State of the Art. The Knowledge Engineering Review 18, 1–31 (2003)

    Article  Google Scholar 

  9. Euzenat, J., et al.: State of the Art on Ontology Alignment. Knowledge Web Deliverable 2.2.3, University of Karlsruhe (2004)

    Google Scholar 

  10. Diogene Ontology Mapping Prototype,http://diogene.cis.strath.ac.uk/prototype.html

  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. Sekine, S., Sudo, K., Ogino, T.: Statistical Matching of Two Ontologies. In: The Proceedings of the SIGLEX 1999: Standerdizing Lexical Resources, Maryland, USA, pp. 69–73 (1999)

    Google Scholar 

  13. Wordnet,http://www.cogsci.princeton.edu/~wn

  14. Illinois Semantic Integration Archive,http://anhai.cs.uiuc.edu/archive

Download references

Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Dalian University of TechnologyLinggong Road 2, Dalian 116024, Liaoning, P.R. China

    Jiangning Wu & Yonggui Wang

Authors
  1. Jiangning Wu

    You can also search for this author inPubMed Google Scholar

  2. Yonggui Wang

    You can also search for this author inPubMed Google Scholar

Editor information

Kang Li Minrui Fei George William Irwin Shiwei Ma

Rights and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, J., Wang, Y. (2007). IAOM: An Integrated Automatic Ontology Mapping Approach Towards Knowledge Integration. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_54

Download citation

Publish with us


[8]ページ先頭

©2009-2025 Movatter.jp