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Extracting Relationship Associations from Semantic Graphs in Life Sciences

  • Conference paper
Knowledge Discovery, Knowlege Engineering and Knowledge Management (IC3K 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 128))

Abstract

The rate of literature publication in life sciences is growing fast, and researchers in the bioinformatics and knowledge discovery fields have been studying how to use the existing literature to discover novel knowledge or generate novel hypothesis. Existing literature-based discovery methods and tools use text-mining techniques to extract non-specified relationships between two concepts. This paper presents a new approach to literature-based discovery, which adopts semantic web techniques to measure the relevance between two relationships with specified types that involve a particular entity. We extract pairs of highly relevant relationships, which we call relationship associations, from semantic graphs representing scientific papers. These relationship associations can be used to help researchers generate scientific hypotheses or create their own semantic graphs for their papers. We present the results of experiments for extracting relationship associations from 392 semantic graphs representing MEDLINE papers.

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Authors and Affiliations

  1. Science Integration Program (Human), Department of Frontier Sciences and Science Integration, Division of Project Coordination, The University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba, 277-8568, Japan

    Weisen Guo & Steven B. Kraines

Authors
  1. Weisen Guo
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  2. Steven B. Kraines
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Jan L. G. Dietz

  3. Informatics Research Centre, Henley Business School, University of Reading, RG6 6UD, Reading, UK

    Kecheng Liu

  4. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

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Guo, W., Kraines, S.B. (2011). Extracting Relationship Associations from Semantic Graphs in Life Sciences. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowlege Engineering and Knowledge Management. IC3K 2009. Communications in Computer and Information Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19032-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-19032-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19031-5

  • Online ISBN: 978-3-642-19032-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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