| URL: | http://skr3.nlm.nih.gov/SemMedDB |
| Full name: | Semantic MEDLINE Database |
| Description: | The Semantic MEDLINE Database (SemMedDB) is a repository of semantic predications (subject-predicate-object triples) extracted by SemRep, a semantic interpreter of biomedical text . |
| Year founded: | 2012 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| University/Institution: | National Library of Medicine |
| Address: | Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA |
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| Country/Region: | United States |
| Contact name (PI/Team): | Halil Kilicoglu |
| Contact email (PI/Helpdesk): | kilicogluh@mail.nih.gov |
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SemMedDB: a PubMed-scale repository of biomedical semantic predications. [PMID: 23044550]
SUMMARY: 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. |