Skip to main content

Semantic Mapping by Approximation

  • Chapter
  • 458 Accesses

Summary

We address the problem of semantic coordination, namely finding an agreement between the meanings of heterogeneous semantic models. We propose a new approximation method to discover and assess the “strength” (preciseness) of semantic mappings between different concept hierarchies. We apply this method in the music domain. We present the results of tests on mapping two music concept hierarchies from actual sites on the Internet.

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
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Jean-Julien Aucouturier and Francois Pachet. Representing musical genre: A state of the art. Journal of New Music Research 2003, Vol. 32, No. 1, pp. 83–93, 2003.

    Article  Google Scholar 

  2. Conor Hayes and Padraig Cunningham. Context boosting collaborative recommendations. Technical Report TCD-CS-2003-26, Trinity College Dublin, Computer Science Department, 2003.

    Google Scholar 

  3. Ryutaro Ichise, Hiedeaki Takeda, and Shinichi Honiden. Integrating multiple internet directories by instance-based learning. In Proc. 18th Int. Joint Conf. on Artificial Intelligence (IJCAI), Acapulco, Mexico, pages 22–28, 2003.

    Google Scholar 

  4. Jayant Madhavan, Philip A. Bernstein, and Erhard Rahm. Generic schema matching with cupid. In Proc. 27th Int. Conf. on Very Large Data Bases (VLDB-01), Roma, Italy, pages 49–58, 2001.

    Google Scholar 

  5. Diana Maynard, Giorgos Stamou, Heiner Stuckenschmidt, Ilya Zaihrayeu, Jesus Barrasa, Jerome Euzenat, Manfred Hauswirth, Marc Ehrig, Mustafa Jarrar, Paolo Bouquet, Pavel Shvaiko, Rose Dieng-Kuntz, Ruben Lara Hernandez, Sergio Tessaris, Sven Van Acker, and Thanh-Le Bach. State of the art on ontology alignment. Knowledge Web Deliverable D2.2.3, INRIA, Saint Ismier, 2004.

    Google Scholar 

  6. E. Mendelson. Introduction to Mathematical Logic. Chapman & Hall, 1997.

    Google Scholar 

  7. Peter Mork and Philip A. Bernstein. Adapting a generic match algorithm to align ontologies of human anatomy. In 20th Int. Conf. on Data Engineering (ICDE), Boston, USA, pages 787–790, March 2004.

    Google Scholar 

  8. Francois Pachet and Daniel Cazaly. A taxonomy of musical genres. In Proc. Content-Based Multimedia Information Access (RIAO), Paris, France, pages 1238–1245, 2000.

    Google Scholar 

  9. Songmao Zhang and Olivier Bodenreider. Comparing associative relationships among equivalent concepts across ontologies. In Proc. Medinfo 2004, San Francisco, California, USA, pages 459–463, Sep. 2004.

    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 chapter

Cite this chapter

Aleksovski, Z., ten Kate, W. (2006). Semantic Mapping by Approximation. In: Staab, S., Stuckenschmidt, H. (eds) Semantic Web and Peer-to-Peer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28347-1_11

Download citation

  • DOI: https://doi.org/10.1007/3-540-28347-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28346-1

  • Online ISBN: 978-3-540-28347-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics