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Semantic MEDLINE: An advanced information management application for biomedicine.
Abstract. To support more effective biomedical information management, Semantic MEDLINE integrates document retrieval,
advanced natural language processing, automatic summarization and visualization into a single Web portal. The application is
intended to help manage the results of PubMed searches by condensing core semantic content in the citations retrieved. Output
is presented as a connected graph of semantic relations, with links to the original MEDLINE citations. The ability to connect
salient information across documents helps users keep up with the research literature and discover connections which might
otherwise go unnoticed. Semantic MEDLINE can make an impact on biomedicine by supporting scientific discovery and the
timely translation of insights from basic research into advances in clinical practice and patient care. Semantic MEDLINE is
illustrated here with recent research on the clock genes.
Keywords: Biomedical information management, semantic processing, automatic summarization, graphical information
representation, clock genes