Skip to main content

A Composite Approach for Ontology Mapping

  • Conference paper
Flexible and Efficient Information Handling (BNCOD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 4042))

Included in the following conference series:

  • 476 Accesses

Abstract

Ontology mapping is one of the important problems for the development of Semantic Web. Establishing such mappings has been the focus of a variety of research originating from diverse communities. In this paper, we propose a Composite Approach for Ontology Mapping (ACAOM) for semi-automatic ontology mapping based on the combination of the name and instance methods. We conclude that the combination is a promising method.

This work was supported by the Natural Science Foundation of China (Grant No. 60175024) and the Key Science-Technology Project of the National Education Ministry of China (Grant No. 02090). To whom correspondences should be addressed, Email: cgzhou@jlu.edu.cn.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. Miller, G.A.: WordNet: A Lexical Database for English. Communications of the ACM 38, 39–41 (1995)

    Article  Google Scholar 

  2. Lin, D.: An Information-Theoretic Definition of Similarity. In: Proceedings of the 15th International Conference on Machine Learning, Madison, WI, pp. 296–304 (1998)

    Google Scholar 

  3. http://www.tartarus.org/~martin/PorterStemmer/

  4. Buckley, C., Lewit, A.F.: Optimization of Inverted Vector Searches. SIGIR, 97–110 (1985)

    Google Scholar 

  5. Jianyong, W., Zhengmao, X., Ming, L., Xiaoming, L.: Research and Evaluation of Near-replicas of Web Pages Detection Algorithms. Chinese Journal of Electronics (2000)

    Google Scholar 

  6. http://anhai.cs.uiuc.edu/archive/summary.type.html

  7. 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

Wang, Y., Gong, J., Wang, Z., Zhou, C. (2006). A Composite Approach for Ontology Mapping. In: Bell, D.A., Hong, J. (eds) Flexible and Efficient Information Handling. BNCOD 2006. Lecture Notes in Computer Science, vol 4042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788911_31

Download citation

  • DOI: https://doi.org/10.1007/11788911_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35969-2

  • Online ISBN: 978-3-540-35971-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics