Semantic based real-time clustering for PubMed literatures

Ruey Ling Yeh, Ching Liu, Ben-Chang Shia, I-Jen Chiang, Wen Wen Yang, Hsiang Chun Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper addresses to use the latent semantic topology to real-time cluster the literatures retrieved by PubMed in response to clinical queries and evaluates its performance by professional experts. The result shows that semantic clusters properly offer an exploratory view on the returned search results, which saves users' time to understand them. Besides, most experts conceive that the documents assigned to the identical cluster are similar and the concepts of clusters are appropriate.

Original languageEnglish
Title of host publicationDiscovery Science - 10th International Conference, DS 2007, Proceedings
PublisherSpringer Verlag
Number of pages5
ISBN (Print)9783540754879
Publication statusPublished - 2007
Event10th International Conference on Discovery Science, DS 2007 - Sendai, Japan
Duration: Oct 1 2007Oct 4 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4755 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Conference on Discovery Science, DS 2007


  • Combinatorial topology
  • Real-time
  • Semantic clustering
  • Web mining

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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