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

  • Authors:
  • Bin Zhu;Gondy Leroy;Hsinchun Chen;Yongchi Chen

  • Affiliations:
  • University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ

  • Venue:
  • Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2002

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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.