A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
RxNorm: Prescription for Electronic Drug Information Exchange
IT Professional
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology Matching
The Description Logic Handbook
The Description Logic Handbook
Ontology module extraction for ontology reuse: an ontology engineering perspective
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Survey of modular ontology techniques and their applications in the biomedical domain
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
Automatic integration of drug indications from multiple health resources
Proceedings of the 1st ACM International Health Informatics Symposium
The modular structure of an ontology: atomic decomposition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Ontology modularization for knowledge selection: experiments and evaluations
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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The benefits of using ontology subsets versus full ontologies are well-documented for many applications. In this study, we propose an efficient subset extraction approach for a domain using a biomedical ontology repository with mappings, a cross-ontology, and a source subset from a related domain. As a case study, we extracted a subset of drugs from RxNorm using the UMLS Metathesaurus, the NDF-RT cross-ontology, and the CORE problem list subset of SNOMED CT. The extracted subset, which we termed RxNorm/CORE, was 4% the size of the full RxNorm (0.4% when considering ingredients only). For evaluation, we used CORE and RxNorm/CORE as thesauri for the annotation of clinical documents and compared their performance to that of their respective full ontologies (i.e., SNOMED CT and RxNorm). The wide range in recall of both CORE (29-69%) and RxNorm/CORE (21-35%) suggests that more quantitative research is needed to assess the benefits of using ontology subsets as thesauri in annotation applications. Our approach to subset extraction, however, opens a door to help create other types of clinically useful domain specific subsets and acts as an alternative in scenarios where well-established subset extraction techniques might suffer from difficulties or cannot be applied.