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Extracting Term Collocations for Directing Users to Informative Web Pages

  • Eiko Yamamoto
  • Hitoshi Isahara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4139)

Abstract

Due to the rapid increase in the number of existing web pages, accessing the pertinent information we seek has become more difficult, especially when one cannot hit upon the proper keywords for the search engine. When we encounter such a situation, we often try to add more keywords to the previous query. However, adding the appropriate words so as to extract only useful documents is rather difficult. In order to solve this problem, we developed a method of extracting term collocations that could help limit the extracted pages to those that are more informative. In order to verify the usefulness of our approach, we extracted collocations from web documents within the medical domain as an example, and we input those collocations into a search engine and retrieved information from the Internet. The results verified that the collocations extracted by this methodology directed users to more informative web pages.

Keywords

Patent Ductus Arteriosus Necrotizing Enterocolitis Mefenamic Acid MeSH Tree Subject Noun 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Eiko Yamamoto
    • 1
  • Hitoshi Isahara
    • 1
  1. 1.National Institute of Information and Communications TechnologyKyotoJapan

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