Advertisement

MedSearch: A Retrieval System for Medical Information Based on Semantic Similarity

  • Angelos Hliaoutakis
  • Giannis Varelas
  • Euripides G. M. Petrakis
  • Evangelos Milios
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4172)

Abstract

MedSearch is a complete retrieval system for Medline, the premier bibliographic database of the U.S. National Library of Medicine (NLM). MedSearch implements SSRM, a novel information retrieval method for discovering similarities between documents containing semantically similar but not necessarily lexically similar terms.

Keywords

MeSH Term Query Term Query Expansion Similar Term Vector Space Model 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Varelas, G., Voutsakis, E., Raftopoulou, P., Petrakis, E., Milios, E.: Semantic Similarity Methods in WordNet and their Application to Information Retrieval on the Web. In: 7th ACM Intern. Workshop on Web Information and Data Management (WIDM 2005), Bremen, Germany, pp. 10–16 (2005)Google Scholar
  2. 2.
    Leacock, C., Chodorow, M.: Combining Local Context and WordNet Similarity for Word Sense Identification in WordNet. In: Fellbaum, C. (ed.) An Electronic Lexical Database, pp. 265–283. MIT Press, Cambridge (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Angelos Hliaoutakis
    • 1
  • Giannis Varelas
    • 1
  • Euripides G. M. Petrakis
    • 1
  • Evangelos Milios
    • 2
  1. 1.Dept. of Electronic and Computer EngineeringTechnical University of Crete (TUC)Chania, CreteGreece
  2. 2.Faculty of Computer ScienceDalhousie UniversityHalifax, Nova ScotiaCanada

Personalised recommendations