Skip to main content
SpringerLink
Log in

Web Mining Techniques for Automatic Discovery of Medical Knowledge

  • Conference paper
Artificial Intelligence in Medicine (AIME 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3581))

Included in the following conference series:

Abstract

In this paper, we propose an automatic and autonomous methodology to discover taxonomies of terms from the Web and represent retrieved web documents into a meaningful organization. Moreover, a new method for lexicalizations and synonyms discovery is also introduced. The obtained results can be very useful for easing the access to web resources of any medical domain or creating ontological representations of knowledge.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Agirre, E., Ansa, O., Hovy, E., Martinez, D.: Enriching very large ontologies using the WWW. In: Workshop on Ontology Construction (ECAI 2000) (2000)

    Google Scholar 

  2. Berners-lee, T., Hendler, J., Lassila, O.: The semantic web, Available at, http://www.sciam.com/72001/050lissue/0501berners-lee.html

  3. Cimiano, P., Staab, S.: Learning by Googling. SIGKDD 6(2), 24–33 (2004)

    Article  Google Scholar 

  4. Etzioni, O., Cafarella, M., Downey, D., Kok, S., Popescu, A., Shaked, T., Soderland, S., Weld, D.: Web Scale Information Extraction in KnowItAll. In: WWW 2004, USA (2004)

    Google Scholar 

  5. Grefenstette, G.: SQLET: Short Query Linguistic Expansion Techniques. In: Pazienza, M.T. (ed.) SCIE 1997. LNCS (LNAI), vol. 1299, ch. 6, pp. 97–114. Springer, Heidelberg (1997)

    Google Scholar 

  6. Navigli, R., Velardi, P.: Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites. Computational Linguistics 30(2) (June 2004)

    Google Scholar 

  7. Turney, P.D.: Mining the Web for synonyms: PMI-IR versus LSA on TOEFL. In: Flach, P.A., De Raedt, L. (eds.) ECML 2001. LNCS (LNAI), vol. 2167, p. 491. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Mathematics, University Rovirai Virgili (URV), Avda. Països Catalans, 26, 43007, Tarragona, Spain

    David Sánchez & Antonio Moreno

Authors
  1. David Sánchez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antonio Moreno
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Information and Knowledge Engineering, Danube University Krems, Dr.-Karl-Dorrek-Str. 30, 3500, Krems, Austria

    Silvia Miksch

  2. Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK

    Jim Hunter

  3. Department of Computer Science, University of Cyprus, P.O.Box 20537, CY-1678, Nicosia, Cyprus

    Elpida T. Keravnou

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sánchez, D., Moreno, A. (2005). Web Mining Techniques for Automatic Discovery of Medical Knowledge. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_54

Download citation

  • DOI: https://doi.org/10.1007/11527770_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27831-3

  • Online ISBN: 978-3-540-31884-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation