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.

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Cited By

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Yang ZLin HLi Y(2010)BioPPISVMExtractorJournal of Biomedical Informatics10.1016/j.jbi.2009.08.01343:1(88-96)Online publication date: 1-Feb-2010
https://dl.acm.org/doi/10.1016/j.jbi.2009.08.013
Yang ZLin HWu B(2009)BioPPIExtractorExpert Systems with Applications: An International Journal10.1016/j.eswa.2007.12.01436:2(2228-2233)Online publication date: 1-Mar-2009
https://dl.acm.org/doi/10.1016/j.eswa.2007.12.014
Ahmed SChidambaram DDavulcu HBaral CCohen KHirschman LShatkay HBlaschke C(2005)IntExProceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics10.5555/1641484.1641492(54-61)Online publication date: 24-Jun-2005
https://dl.acm.org/doi/10.5555/1641484.1641492

Index Terms

Genescene: biomedical text and data mining
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
  2. Life and medical sciences
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Document collection models
  2. Information systems applications
    1. Digital libraries and archives

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Information & Contributors

Information

Published In

JCDL '03: Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries

May 2003

393 pages

ISBN:0769519393

Conference Chair:
Lois Delcambre
Oregon Health & Science University
,
General Chair:
Geneva Henry
Rice University
,
Program Chair:
Catherine C. Marshall
Microsoft Corporation

Publisher

IEEE Computer Society

United States

Publication History

Published: 27 May 2003

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JCDL03

Sponsor:

JCDL03: Joint Conference on Digital Libraries 2003

May 27 - 31, 2003

Texas, Houston

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JCDL '03 Paper Acceptance Rate 54 of 216 submissions, 25%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

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Yang ZLin HLi Y(2010)BioPPISVMExtractorJournal of Biomedical Informatics10.1016/j.jbi.2009.08.01343:1(88-96)Online publication date: 1-Feb-2010
https://dl.acm.org/doi/10.1016/j.jbi.2009.08.013
Yang ZLin HWu B(2009)BioPPIExtractorExpert Systems with Applications: An International Journal10.1016/j.eswa.2007.12.01436:2(2228-2233)Online publication date: 1-Mar-2009
https://dl.acm.org/doi/10.1016/j.eswa.2007.12.014
Ahmed SChidambaram DDavulcu HBaral CCohen KHirschman LShatkay HBlaschke C(2005)IntExProceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics10.5555/1641484.1641492(54-61)Online publication date: 24-Jun-2005
https://dl.acm.org/doi/10.5555/1641484.1641492

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Comparison of Methods to Annotate Named Entity Corpora

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