A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology (온토로지를 이용한 의학용어의 개념 모델링 사례 분석 연구)

Hyunsil Lee (이현실)

doi:10.3743/KOSIM.2004.21.3.141

A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2004, 21(3), pp.141~160
DOI : 10.3743/KOSIM.2004.21.3.141
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 16, 2004
Accepted : September 18, 2004
Published : September 30, 2004

Hyunsil Lee ¹

¹원광대학교

Accredited

ABSTRACT

Recent research in the field of medical information systems has paid much attention to an ontology based medical terminology system to support clinical study and effective information search. This study aims to conduct research for further application or construction of ontology systems in Korea. This research reviews the theory of concept modeling and ontology, and analyses 4 cases of conceptual modeling of medical terminologies by ontology. The findings of this study display these specific characteristics in medical ontologies : (1) The standardization of terminology on MeSH. (2) The conceptualization of terminology on UMLS. (1) and (2) are showed as unformal ontologies. (3) The theory of ontology integration in ON9. (4) The reference model of medical knowledge with formalization in GALEN. (3) and (4) are showed as formal ontologies. The application and construction of ontology should be differentiated according to the level of the proposed system, and then this analysis will provide useful information for the researcher and developer of the system.

KEYWORDS

MeSH, UMLS, ON9, GALEN, concept modeling, ontology, medical terminology

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.