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Biomedical Application of Knowledge Discovery

  • Chapter
Literature-based Discovery

Part of the book series: Information Science and Knowledge Management ((ISKM,volume 15))

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Abstract

With rapid progress in biomedical fields, the knowledge accumulated in scientific papers has increased significantly. Most of these papers draw only a frag-mental conclusion from the viewpoint of scientific facts, so discovery of hidden knowledge or hypothesis generation by leveraging this fragmental information has come into the limelight and more expectations on the system constructions to assist them has been paid. To respond to these expectations, we have developed a system called BioTermNet (http://btn.ontology.ims.u-tokyo.ac.jp:8081/) to make a conceptual network by connecting conceptual relationships (fragmental information) explicitly described in papers and explore the hidden relationships in the conceptual network. The conceptual relationships are extracted by hybrid methods of information extraction and information-retrieval techniques. This system has a potential for wide application. After the validation of system performance, we take up some topics of conceptual network-based analysis and refer to other applications in the future prospects section.

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Author information

Authors and Affiliations

  1. Central Research Laboratory, Hitachi Ltd., 1-280 Higashi-Koigakubo Kokubunji City, Tokyo, 185-8601, Japan

    A. Koike

  2. Department of Computational Biology, Graduate School of Frontier Science, The University of Tokyo, Kiban-3A1(CB01) 5-1-5, Kashiwanoha Kashiwa, Chiba, 277-8561, Japan

    A. Koike

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  1. A. Koike
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Editor information

Editors and Affiliations

  1. Queensland University of Technology, GPO Box 2434, Brisbane, 4001, Australia

    Peter Bruza

  2. 733 Fallsgrove Dr., 20850, Rockville, MD, USA

    Marc Weeber

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© 2008 Springer-Verlag Berlin Heidelberg

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Koike, A. (2008). Biomedical Application of Knowledge Discovery. In: Bruza, P., Weeber, M. (eds) Literature-based Discovery. Information Science and Knowledge Management, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68690-3_11

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  • DOI: https://doi.org/10.1007/978-3-540-68690-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68685-9

  • Online ISBN: 978-3-540-68690-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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