Text-based discovery in biomedicine: the architecture of the DAD-system.
PubMedPublished 1 January 2000
Marc Weeber, Henny Klein, Alan R. Aronson, James G. Mork, Lolkje T. W. de Jong-van den Berg, Rein Vos
Citations121
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TL;DR
The DAD-system is reported on, a concept-based Natural Language Processing system for PubMed citations that provides the biomedical researcher with a literature-based discovery tool to explore new useful domains.
Abstract
Current scientific research takes place in highly specialized contexts with poor communication between disciplines as a likely consequence. Knowledge from one discipline may be useful for the other without researchers knowing it. As scientific publications are a condensation of this knowledge, literature-based discovery tools may help the individual scientist to explore new useful domains. We report on the development of the DAD-system, a concept-based Natural Language Processing system for PubMed citations that provides the biomedical researcher such a tool. We describe the general architecture and illustrate its operation by a simulation of a well-known text-based discovery: The favorable effects of fish oil on patients suffering from Raynaud's disease [1].
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
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