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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

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Vol.21 No.3

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

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.3, pp.141-160
https://doi.org/10.3743/KOSIM.2004.21.3.141

(2004). A Study of the Case Analysis of Conceptual Modeling of Medical Terminologies by Ontology. Journal of the Korean Society for Information Management, 21(3), 141-160, https://doi.org/10.3743/KOSIM.2004.21.3.141

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
개념모델링, 온톨로지, 의학용어 MeSH, UMLS, ON9, GALEN, concept modeling, ontology, medical terminology, 개념모델링, 온톨로지, 의학용어 MeSH, UMLS, ON9, GALEN, concept modeling, ontology, medical terminology

Reference

1.

김혜선. (2001). 통합의학언어 시스템(UMLS)의 구성 및 적용에 대한 고찰.. 情報管理硏究, 32(2), 26-39.

2.

김홍기. (2003). 의료정보학에서 온톨로지 기술. 대한의료정보학회지, 9(3), 213-219.

3.

Abasolo, Jose María. (2004). MELISA. An ontology- based agent for information retrieval in medicine. http://www.ics.forth.gr/isl/SemWeb/proceedings/session3-1/paper.pdf.

4.

Brodie, M. L. (1984). On Conceptual Modeling:New York : Springer- Verlag..

5.

Burgun, A. (1999). IEEE International Conference On SMC ’99. IEEE International Conference On SMC ’99, 6, 300-305.

6.

Corcho, Oscar,. ntoWeb Technical Roadmap v1.0. IST Programme of the Commi- ssion of the European Communities as Project. .

7.

Fensel, Dieter. (2000). On-To-Knowledge: Ontology-Based Tools for Knowl- edge Management.. http://www.cs.vu.nl/~frankh/postscript/eBeW00.pdf.

8.

Gangemi, Aldo. (1999). An Overview of the ONIONS project: Applying ontologies to the integration of me- dical terminologies. ata & Knowl- edge Engineering,, 31, 183-220.

9.

Gruber, T. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5, 199-220.

10.

Guarino, Nicola. (1998). Formal Ontology and Information Systems (-). In Proceedings of FOIS'98. IOS Press.

11.

Hahn, Udo. (1999). How knowledge drives understanding-matching medical ontologies with the needs of medical language processing. Artificial intelligence in medicine, 15, 25-51.

12.

Ingenerf, Jose. (2001). Standardized Termi- nological Services Enabling Semantic Interoperability Between Distributed and Heterogeneous Systems.. International Journal of Medical Informatics, 64, 223-240.

13.

Keizer, N. F. (2000). Understanding Terminological Systems I: Terminology and Typology. Methods of Information In Medicine, 39(1), 16-21.

14.

McCray, A. T. (1995). Concepts, Knowledge, and Language in Health-Care Information Systems. Methods of Information in Me- dicine, 34(1), 1-4.

15.

Mylopoulos, John. (1998). Information modeling in the time of the revolution.. Information Systems, 23(3), 127-155.

16.

Neches, Robert. (1991). Enabling Technology for Knowledge Sharing. AI Magazine, 12(3), 36-56.

17.

(2004). MeSH. http://www.nlm.nih.gov/mesh/.

18.

(2003). UMLS. http://www.nlm.nih.gov/research/umls.

19.

(2004). GALEN. http://www.opengalen.org.

20.

Rogers, Jeremy. (2000). GALEN‘s Model of Parts and Wholes: Experience and Compa- risons. (714-718). Proceedings American Medical Informatics Association Symposium.

21.

Rogers, J. E. (2004). Extended Core Model for Representation of the Common Reference Model for Procedures. http://www.opengalen.org/open/crm/.

22.

Stefano, Dessena. (1999). Development of a cross-thesaurus with Internet-based refinement supported by UMLS.. International Journal of Medical Informatics, 54, 29-41.

23.

Steve, Geri. (2004). Integrating Medical Terminolo- gies with ONIONS Methodology. http://www.loa-cnr.it/Papers/onions97.pdf.

24.

Studer, Rudi. (1998). Knowledge Engineering : Principles and Me- thods. Data & Knowledge Engi- neering, 25(1), 161-197.

25.

Wand, Yair. (1996). Ontology as a foundation for meta-modelling and method engineering. Information and Software Technology, 38, 181-187.

26.

(2009). OWL is a W3C Reco- mmendation.. http://www.w3.org/2001/sw/WebOnt/.

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