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Text Mining of Biological Resources

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Encyclopedia of Database Systems

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Synonyms

Knowledge discovery from biological resources; Hypothesis generation and exploration from biological resources; Literature-based discovery from biological resources

Definition

Text mining is about automatically or semi-automatically exploring hypotheses or new ideas from a set of resources. The mined hypotheses require further tests with methods native to the discipline, in this case with scientific methods in biomedicine. An overall goal in text mining is to support the intellectual activities of biomedical scientists as they explore new ideas using a collection of resources. Text mining is similar to data mining. But instead of mining a collection of well-structured data, text mining operates off semi-structured text collections. Current text mining efforts in biomedicine increasingly involve more structured data sources such as the Entrez Gene database maintained by the National Library of Medicine (NLM).

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Recommended Reading

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Author information

Authors and Affiliations

  1. The University of Iowa, Iowa City, IA, USA

    Padmini Srinivasan

Authors
  1. Padmini Srinivasan
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Srinivasan, P. (2009). Text Mining of Biological Resources. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_635

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