Semantic MEDLINE Database (SemMedDB) is a repository of semantic predications (subject-predicate-object triples) extracted by SemRep, a semantic interpreter of biomedical text . SemMedDB currently contains information about approximately 57.6 million predications from all of PubMed citations (more than 21 million citations, as of June 30th, 2012) and forms the backbone of Semantic MEDLINE application [2, 3].
To get started with SemMedDB, consult the article. For details about the SemMedDB schema, click "Database Details" tab.
For more information about SemMedDB, send email to email@example.com.
- Rindflesch, T.C. and Fiszman, M. (2003). The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. Journal of Biomedical Informatics, 36(6), 462-477.
- Kilicoglu, H. et al. (2008). Semantic MEDLINE: A Web Application to Manage the Results of PubMed Searches. In Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), pp. 69-76.
- Rindflesch, T.C. et al. (2011) Semantic MEDLINE: An advanced information management application for biomedicine. Information Services & Use, 31, 15-21.