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
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