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Text Mining on PubMed

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Approaches in Integrative Bioinformatics

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Abstract

A technology of linguistic analysis with the use of computer methods is called a text mining.

Computer tools based on this technology can provide a wide range of tasks, including:

  1. 1.

    The task of finding a relevant literature with the user-specified criteria and determination of the correspondence between single article or manually specified picks of articles and researching area of knowledge or a set of predesignated areas

  2. 2.

    The task of identification and extraction of names of biological objects that can be found in the raw text (e.g., genes, proteins, metabolites) with extra information on them, such as the type of object and names of its synonyms

  3. 3.

    The task of establishment of relationships between objects that had been automatically recognized in text with the representation of the obtained data in a form convenient for the further analysis, for example, in the form of associative networks

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Authors and Affiliations

  1. Institute of Cytology and Genetics SB RAS, Laboratory of the Computer Proteomics, Novosibirsk, Russia

    Timofey V. Ivanisenko, Pavel S. Demenkov & Vladimir A. Ivanisenko

Authors
  1. Timofey V. Ivanisenko
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  2. Pavel S. Demenkov
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  3. Vladimir A. Ivanisenko
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Corresponding author

Correspondence to Timofey V. Ivanisenko .

Editor information

Editors and Affiliations

  1. College of Life Sciences, Zhejiang University, Hangzhou, People's Republic of China

    Ming Chen

  2. Department of Bioinformatics and Medical Informatics, Bielefeld University, Bielefeld, Germany

    Ralf Hofestädt

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Ivanisenko, T.V., Demenkov, P.S., Ivanisenko, V.A. (2014). Text Mining on PubMed. In: Chen, M., Hofestädt, R. (eds) Approaches in Integrative Bioinformatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41281-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-41281-3_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41280-6

  • Online ISBN: 978-3-642-41281-3

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