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International Work-Conference on Artificial Neural Networks

IWANN 1999: Engineering Applications of Bio-Inspired Artificial Neural Networks pp 715–724Cite as

Applying Ontology to the web: A case study

  • Engeneering Applications
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1607))

Abstract

This paper describes the use of Simle HTML Ontology Extensions (SHOE) in a real world internet application. SHOE allows authors to add semantic content to web pages and to relate this content to common ontologies that provide contextual information about the domain. Using this information, query systems can provide more accurate responses than are possible with the search engines available on the Web. We have applied these techniques to the domain of Transmissible Spongiform Encephalopathies (TSEs), a class of diseases that include “Mad Cow Disease”. We discuss our experiences and provides lessons learned from the process.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Maryland, MD, College Park

    Jeff Heflin, James Hendler & Sean Luke

Authors
  1. Jeff Heflin
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  2. James Hendler
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  3. Sean Luke
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Editor information

José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Heflin, J., Hendler, J., Luke, S. (1999). Applying Ontology to the web: A case study. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0100539

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  • DOI: https://doi.org/10.1007/BFb0100539

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66068-2

  • Online ISBN: 978-3-540-48772-2

  • eBook Packages: Springer Book Archive

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