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Semantic MEDLINE: An advanced information management application for biomedicine

Issue title: NFAIS 2011 and APE 2011

Article type: Research Article

Authors: Rindflesch, Thomas C.; * | Kilicoglu, Halil | Fiszman, Marcelo | Rosemblat, Graciela | Shin, Dongwook

Affiliations: Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA

Correspondence: [*] Corresponding author: Thomas C. Rindflesch, PhD, Lister Hill National Center for Biomedical Communications, National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA. Tel.: +1 301 435 3191; Fax: +1 301 496 0673; E-mail: [email protected].

Keywords: Biomedical information management, semantic processing, automatic summarization, graphical information representation, clock genes

DOI: 10.3233/ISU-2011-0627

Journal: Information Services & Use, vol. 31, no. 1-2, pp. 15-21, 2011

Published: 6 September 2011
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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.

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