SemMedDB: a PubMed-scale repository of biomedical semantic predications | Zendy

Halil Kilicoglu | Zendy; Dongwook Shin | Zendy; Marcelo Fiszman | Zendy; Graciela Rosemblat | Zendy; Thomas C. Rindflesch | Zendy

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SemMedDB: a PubMed-scale repository of biomedical semantic predications

Author(s) -

Halil Kilicoglu,

Dongwook Shin,

Marcelo Fiszman,

Graciela Rosemblat,

Thomas C. Rindflesch

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts591

Subject(s) - computer science , biomedicine , unified medical language system , information retrieval , license , subject (documents) , data science , world wide web , bioinformatics , biology , operating system

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.

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