Dimensions of Drug Information

    January 2011 in “ Rutgers University Community Repository (Rutgers University) ”
    Mark Sharp
    TLDR A new method organizes drug information to improve data use and create a comprehensive drug database.
    The document discussed the challenges in drug information usage due to the high number and heterogeneity of resources, proposing a broad view of ontology matching (OM) to address these issues. It introduced "dimensions of drug information" as an approach to early, pre-formal OM in the drug domain, inspired by facet analysis, domain analysis, and Semantic Web research. By surveying 23 publicly available drug information resources, the study identified 39 dimensions relevant to pharmacy, chemistry, biology, and clinical medicine, and mapped them to these resources. A detailed analysis of nine parent drug compounds from 15 resources refined this mapping into a six-level hierarchy. The integration of this information into an experimental database demonstrated its utility for automating data normalization and satisfying complex use cases, aiming to build a comprehensive drug database.
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