• DocumentCode
    3524840
  • Title

    Genescene: biomedical text and data mining

  • Author

    Leroy, Gondy ; Chen, Hsinchun ; Martinez, Jesse D. ; Eggers, Shauna ; Falsey, Ryan R. ; Kislin, Kerri L. ; Huang, Zan ; Li, Jiexun ; Xu, Jie ; McDonald, Daniel M. ; Ng, Gavin

  • Author_Institution
    Dept. of Manage. Inf. Syst., Arizona Univ., Tucson, AZ, USA
  • fYear
    2003
  • fDate
    31-31 May 2003
  • Firstpage
    116
  • Lastpage
    118
  • Abstract
    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.
  • Keywords
    Internet; data mining; digital libraries; genetics; information retrieval; medical information systems; natural languages; text analysis; Genescene toolkit; biomedical literature searching; biomedical text mining; data mining; information extraction; natural language processing technique; online interface; Abstracts; Bioinformatics; Cancer; Data mining; Gene expression; Genomics; Humans; Management information systems; Ontologies; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Libraries, 2003. Proceedings. 2003 Joint Conference on
  • Conference_Location
    Houston, TX, USA
  • Print_ISBN
    0-7695-1939-3
  • Type

    conf

  • DOI
    10.1109/JCDL.2003.1204906
  • Filename
    1204906