Genescene: Biomedical text and data mining

G. Leroy, Hsinchun Chen, J. D. Martinez, S. Eggers, R. R. Falsey, K. L. Kislin, Zan Huang, Jiexun Li, Jie Xu, D. M. McDonald, Gavin Ng

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

11 Scopus citations


To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from text and experimental data. These provide a more detailed overview of the information available. The extracted relations were evaluated by qualified researchers and are precise. A qualitative ongoing evaluation of the current online interface indicates that this method to search the literature is more useful and efficient than keyword based searching.

Original languageEnglish (US)
Title of host publicationProceedings - 2003 Joint Conference on Digital Libraries, JCDL 2003
EditorsLois Delcambre, Geneva Henry, Catherine C. Marshall
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)0769519393
StatePublished - 2003
Event2003 Joint Conference on Digital Libraries, JCDL 2003 - Houston, United States
Duration: May 27 2003May 31 2003

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996


Other2003 Joint Conference on Digital Libraries, JCDL 2003
Country/TerritoryUnited States


  • Abstracts
  • Bioinformatics
  • Cancer
  • Data mining
  • Gene expression
  • Genomics
  • Humans
  • Management information systems
  • Ontologies
  • Testing

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Genescene: Biomedical text and data mining'. Together they form a unique fingerprint.

Cite this