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Using concepts in literature‐based discovery: Simulating Swanson's Raynaud–fish oil and migraine–magnesium discoveries

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  • Marc Weeber
  • Henny Klein
  • Lolkje T.W. de Jong‐van den Berg
  • Rein Vos

Abstract

Literature‐based discovery has resulted in new knowledge. In the biomedical context, Don R. Swanson has generated several literature‐based hypotheses that have been corroborated experimentally and clinically. In this paper, we propose a two‐step model of the discovery process in which hypotheses are generated and subsequently tested. We have implemented this model in a Natural Language Processing system that uses biomedical Unified Medical Language System (UMLS) concepts as its unit of analysis. We use the semantic information that is provided with these concepts as a powerful filter to successfully simulate Swanson's discoveries of connecting Raynaud's disease with fish oil and migraine with a magnesium deficiency.

Suggested Citation

  • Marc Weeber & Henny Klein & Lolkje T.W. de Jong‐van den Berg & Rein Vos, 2001. "Using concepts in literature‐based discovery: Simulating Swanson's Raynaud–fish oil and migraine–magnesium discoveries," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 548-557.
    • Handle: RePEc:bla:jamist:v:52:y:2001:i:7:p:548-557
    DOI: 10.1002/asi.1104
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    Cited by:

    1. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    2. Yuya Kajikawa, 2022. "Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5571-5585, September.

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