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

Bin Zhu, Gondy Leroy, Hsinchu Chen, Yongchi Chen

Research output: Contribution to conferencePaper

4 Scopus citations

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.

Original languageEnglish (US)
Number of pages1
StatePublished - Dec 1 2002
EventProceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries - Portland, OR, United States
Duration: Jul 14 2002Jul 18 2002

Other

OtherProceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries
CountryUnited States
CityPortland, OR
Period7/14/027/18/02

Keywords

  • Categorization
  • Concept space
  • Meta search
  • Visualization

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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  • Cite this

    Zhu, B., Leroy, G., Chen, H., & Chen, Y. (2002). MedTextus: An intelligent web-based medical meta-search system. Paper presented at Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries, Portland, OR, United States.