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Extracting Conceptual Relationships from Specialized Documents

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Conceptual Modeling — ER 2002 (ER 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2503))

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Abstract

Conceptual modeling has been fundamental to the management of structured data. However, its value is increasingly being recognized for knowledge management in general. In trying to develop suitable conceptual models for unstructured information, issues such as the level of representation and complexity of processing techniques arise. Here, we investigate the use of a conceptual model that is simple enough to allow efficient automatic extraction from documents. Our model focused on the problem-solution relationship that is central to the analysis of scientific papers. It also consists of supporting relationships such as benefits and drawbacks, assumptions, methods, extensions, and claims. Our study considered two kinds of documents - scientific research papers and patents. We evaluated the utility of the approach by building a prototype system and our user evaluation shows promising results.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Toronto, Canada

    Bowen Hui

  2. Faculty of Information Studies, University of Toronto, Canada

    Eric Yu

Authors
  1. Bowen Hui
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  2. Eric Yu
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Editor information

Editors and Affiliations

  1. Database Laboratory, School of Computer and Communication Sciences, Ecole Polytechnique Fédérale Lausanne (EPFL), 1015, Lausanne, Switzerland

    Stefano Spaccapietra

  2. Owen Graduate School of Management, Vanderbilt University, Nashville, TN, 37203, USA

    Salvatore T. March

  3. Graduate School of Informatics, Department of Social Informatics, Kyoto University, Yoshida Sakyo, Kyoto, 606-8501, Japan

    Yahiko Kambayashi

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© 2002 Springer-Verlag Berlin Heidelberg

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Hui, B., Yu, E. (2002). Extracting Conceptual Relationships from Specialized Documents. In: Spaccapietra, S., March, S.T., Kambayashi, Y. (eds) Conceptual Modeling — ER 2002. ER 2002. Lecture Notes in Computer Science, vol 2503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45816-6_26

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  • DOI: https://doi.org/10.1007/3-540-45816-6_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44277-6

  • Online ISBN: 978-3-540-45816-6

  • eBook Packages: Springer Book Archive

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