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Medical Ontology Research

The LHNCBC Medical Ontology Research project encompasses basic research on biomedical terminologies and ontologies and their applications to natural language processing, clinical decision support, translational medicine, data integration and interoperability. In the past few years, our research has focused on the integration, dissemination, quality assurance and applications of drug ontologies (add link to the 2014 BoSC report) and on quality assurance in biomedical ontologies. We also develop application programming interfaces (APIs) and browsers for drug resources including RxNorm, RxTerms, NDF-RT and ATC.

Publications/Tools: 
Bodenreider O, Mitchell JA, McCray AT. Biomedical Ontologies Pacific Symposium on Biocomputing: World Scientific. 2003;:562-564.
Burgun A, Bodenreider O. Aspects of the Taxonomic Relation in the Biomedical Domain FOIS. 2001;: 222-233
Bodenreider O, Pakhomov S. Exploring Adjectival Modification in Biomedical Discourse Across Two Genres Proc. of the ACL, 2003 Workshop, Natural Language Processing in Biomedicine. 2003;:105-112.
Cantor MN, SI N, Hartel F, Bodenreider O, Lussier YA. An Evaluation of Hybrid Methods for Matching Biomedical Terminologies: Mapping the Gene Ontology to the UMLS Stud Health Technol Inform. 2003;:62-67.
Bodenreider O, Burgun A, Rindflesch TC. Assessing the Consistency of a Biomedical Terminology Through Lexical Knowledge Int J Med Inf. 2002 Dec 4;67(1-3):85-95.
Burgun A, Bodenreider O, Le Duff F, Moussouni F, Loreal O. Representation of roles in biomedical ontologies: a case study in functional genomics. Proc AMIA Symp. 2002:86-90.
McCray AT, Bodenreider O, Malley JD, Browne AC. Evaluating UMLS Strings for Natural Language Processing AMIA Annu Symp Proc. 2001;():448-52.
Burgun A, Bodenreider O. Mapping the UMLS Semantic Network into General Ontologies Proc AMIA Symp. 2001:81-5.
McCray AT, Burgun A, Bodenreider O. Aggregating UMLS Semantic Types for Reducing Conceptual Complexity Medinfo. 2001 ;10(Pt 1):216-20.
Bodenreider O. An Object-Oriented Model for Representing Semantic Locality in the UMLS Medinfo. 2001 ;10(Pt 1):161-5.

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