Semantic MEDLINE: An advanced information management application for biomedicine

Thomas C. Rindflesch, Halil Kilicoglu, Marcelo Fiszman, Graciela Rosemblat, Dongwook Shin

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)15-21
Number of pages7
JournalInformation Services and Use
Volume31
Issue number1-2
DOIs
StatePublished - Aug 31 2011
Externally publishedYes

Keywords

  • automatic summarization
  • Biomedical information management
  • clock genes
  • graphical information representation
  • semantic processing

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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