Skip to main content
SpringerLink
Log in

Indexing a Web Site to Highlight Its Content

  • Conference paper
  • First Online:
Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

Included in the following conference series:

  • 675 Accesses

Abstract

This article presents a new approach in order to indexa Web site. It uses ontologies and natural language techniques for information retrieval on the Internet. The main goal is to build a structured indexof the Web site. This structure is given by a terminology oriented ontology of a domain which is chosen a priori according to the content of the Web site. The indexing process uses improved natural language technics.

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

Access this chapter

Log in via an institution
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.

References

  1. G. A. Miller. Wordnet: an online lexical database. Int. Journal of Lexicography, 3(4):235–312, 1990.

    Article  Google Scholar 

  2. A. Gomez-Perez. Dèveloppements rècents en matiére de conception, de maintenance et d’utilisation des ontologies. In revue terminologies nouvelles, editor, TIA, pages 9–20, Nantes, France, 1999.

    Google Scholar 

  3. D. Fensel, S. Decker, M. Erdmann, and R. Studer. Ontobroker: Or how to enable intelligent access to the WWW. In KAW, Banff, Canada, 1998.

    Google Scholar 

  4. S. Luke, L. Spector, and D. Rager. Ontology-based knowledge discovery on the world-wide-web. In the workshop on internet-based information system,AAAI’96, Portland, Oregon, 1996.

    Google Scholar 

  5. E. Brill. Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging. Computational linguistics, 21, 1995.

    Google Scholar 

  6. J. H. Lee, M. H. Kim, and Y. J. Lee. information retrieval based on conceptual distance in IS-A hierarchies. journal of documentation, 49(2):188–207, 1993.

    Article  Google Scholar 

  7. P. Resnik. Semantic similarity in a taxonomy: an information based measure and its application to problems of ambiguity in natural language. Journal of artificial intelligence research, 11, 1999.

    Google Scholar 

  8. Z. Wu and M. Palmer. Verb semantics and lexical selection. In the 32nd annual meeting of the association for computational linguistics, Las Cruses, New Mexico, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IRIN, Université de Nantes, 2, Rue de la Houssiniére, BP 92208, F-44322, Nantes Cedex3, France

    E. Desmontils & C. Jacquin

Authors
  1. E. Desmontils
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Jacquin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

  2. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Yiju Yao

  3. Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon, Hong Kong, China

    Jiming Liu

  4. Department of Information and Computer Science, Waseda University, 3-4-1 Okubo Shinjuku-Ku, Tokyo, 169, Japan

    Setsuo Ohsuga

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Desmontils, E., Jacquin, C. (2001). Indexing a Web Site to Highlight Its Content. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_42

Download citation

  • DOI: https://doi.org/10.1007/3-540-45490-X_42

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation