SemMedDB: A PubMed-scale repository of biomedical semantic predications

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

Research output: Contribution to journalArticlepeer-review


Effective access to the vast biomedical knowledge present in the scientific literature is challenging. Semantic relations are increasingly used in knowledge management applications supporting biomedical research to help address this challenge. We describe SemMedDB, a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations. We propose the repository as a knowledge resource that can assist in hypothesis generation and literature-based discovery in biomedicine as well as in clinical decision-making support.

Original languageEnglish (US)
Pages (from-to)3158-3160
Number of pages3
Issue number23
StatePublished - Dec 2012
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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