MedTextus: an intelligent web-based medical meta-search system

ABSTRACT

We propose to demonstrate a web-based prototype system that integrates the meta-search approach with existing information analysis and visualization technologies to facilitate concept-based searching behavior over the medical domain. The system distinguishes itself from other meta-search engines through two features. It incorporates the co-occurrence analysis and existing ontology to understand user's query. It also utilizes the self-organizing map (SOM) to categorize and visualize search results.

REFERENCES

• 1: Chen, H. & Lynch, K.J., (1992). Automatic construction of networks of concepts characterizing document database. IEEE Transactions on Systems, Man and Cybernetics, Vol. 22, No. 5, pp. 885--902
• 2: Teuvo Kohonen, Self-organizing maps, Springer-Verlag New York, Inc., Secaucus, NJ, 1997
• 3: Kristin M. Tolle , Hsinchun Chen, Comparing noun phrasing techniques for use with medical digital library tools, Journal of the American Society for Information Science, v.51 n.4, p.352-370, March 1, 2000 [doi>10.1002/(SICI)1097-4571(2000)51:4<352::AID-ASI5>3.3.CO;2-#]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

General Terms:
Algorithms, Design

Keywords:
categorization, concept space, meta search, visualization