Nothing Special   »   [go: up one dir, main page]

Skip to main content

Clustering OWL Documents Based on Semantic Analysis

  • Conference paper
Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

Included in the following conference series:

Abstract

Clustering OWL documents on the WWW or the Semantic Web is an important task in domain of ontology research and WI research. This paper analyzes semantic of OWL documents and proposes a method for computing semantic similarity between OWL documents. The method considers inheritance of objects and representation of complex classes. It can be used in clustering OWL documents built by experts and OWL documents learned by automatic tools.

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
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

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. Breaux, T.D., Reed, J.: Hierarchical Information Clustering Using Ontology Languages. In: Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38), Honolulu, Hawaii, p. 112b (January 2005)

    Google Scholar 

  2. Safar, B., Kefi, H.: Domain Ontology and Galois Lattice structure for Query Refinement. In: Proceedings of the 15th IEEE international conference on Tools with Artificial Intelligence, Computer Society (2003)

    Google Scholar 

  3. Ning, Z., Jiming, L., Yiyu, Y. (eds.): Web Intelligence, p. 440. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  4. Horrocks, I., Patel-Schneider, P., Harmelen, F.: From SHIQ and RDF to OWL: the making of a Web Ontology language. Journal of Web Semantics 1(1), 7–26 (2003)

    Google Scholar 

  5. Lian, W., Cheung, D.W.-l., Mamoulis, N., Yiu, S.-M.: An efficient and scalable algorithm for clustering XML Documents by structure. IEEE Transactions on Knowledge and Data Engineering 16, 82–96 (2004)

    Article  Google Scholar 

  6. Lee, M.L., Yang, L.H., Hsu, W., Yang, X.: XCLust: Clustering XML schemas for effective integration. In: CIKM 2002, McLean, Virginia, USA (2002)

    Google Scholar 

  7. Yoon, J., Raghavan, V., Chakilam, V.: BitCube: Clustering and Statistical Analysis for XML Documents. In: Thirteenth International Conference on Scientific and Statistical Database Management, Fairfax, Virginia, July 18-20 (2001)

    Google Scholar 

  8. Dalamagas, T., Cheng, T., Winkel, K.-J., Sellis, T.K.: Clustering XML Documents by Structure. In: Vouros, G.A., Panayiotopoulos, T. (eds.) SETN 2004. LNCS (LNAI), vol. 3025, pp. 112–121. 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

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gao, M., Liu, C., Chen, F. (2005). Clustering OWL Documents Based on Semantic Analysis. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_17

Download citation

  • DOI: https://doi.org/10.1007/11563952_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics