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

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Vol.24 No.4

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A Study on Metadata Mapping for Semantic Interoperability

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2007, v.24 no.4, pp.223-238
https://doi.org/10.3743/KOSIM.2007.24.4.223



& (2007). A Study on Metadata Mapping for Semantic Interoperability. Journal of the Korean Society for Information Management, 24(4), 223-238, https://doi.org/10.3743/KOSIM.2007.24.4.223

Abstract

This paper contains an analysis of the methods that have been used to achieve or improve interoperability among metadata and discuss the possibilities and limits of semantic interoperability among metadata using crosswalk. After that a semantic metadata mapping process which is able to maximize the interoperability among metadata is suggested. The methodology consists of four steps such as identifying metadata schema, finding common data element concepts(DECs), grouping attributes by the DECs, and mapping into a table. An experimental application of the process was performed onto two human resource information metadata standards developed in Korea.

keywords
메타데이터, 메타데이터 크로스워크, 의미 호환, 매핑 테이블, 인력 정보Metadata, Metadata Crosswalk, Metadata Registry, Semantic Interoperability, Mapping Table, Human Resource Information, Metadata, Metadata Crosswalk, Metadata Registry, Semantic Interoperability, Mapping Table, Human Resource Information, Metadata, Metadata Crosswalk, Metadata Registry, Semantic Interoperability, Mapping Table, Human Resource Information

Reference

1.

홍성화. (2004). 분류체계 일치를 통한 과학기술정보 상호 교환 방법에 관한 기초 연구. 정보관리연구, 35(3), 109-123.

2.

Burgman, Michael K. (2006). Models of Semantic Interoperability. http://www.mkbergman.com/?cat=16.

3.

ISO/IEC JTC1. (2003). ISO/IEC 11179 Information Technology - Metadata Registries. , -.

4.

Lightle, K. S and Ridgway, J. S. (2003). Generation of XML Records across Multiple Metadata Standards: D-Lib Magazine, 9(9). http://dlib.org/dlib/september03/lightle/09lightle.html.

5.

Pierre, M. St and LaPlant, W. P. Jr. (1998). Issues in Crosswalking Content Metadata Standards. http://www.niso.org/press/whitepapers/crsswalk.html.

6.

고영만. 온톨로지와 웹 온톨로지: 메타데이터 표준화 포럼 제1회 워크숍 자료집 - 메타데이터와 온톨로지.

7.

고영만. (2005). 온톨로지 기반 메타데이터 명명규칙에 관한 연구. 정보관리학회지, 22(4), 97-109.

8.

과학기술정보표준화위원회. (2005). 과학기술 인력정보를 위한 메타데이터. 과학기술정보표준화위원회.

9.

서태설. (2007). 데이터의 의미적 상호운용성 확보를 위한 데이터 모델링 프로세스: EDM 가공에의 적용. Journal of Information Science Theory and Practice, 38(1), 59-73.

10.

한국과학기술정보연구원. (2005). 국가산업기술정보 메타데이터 시범구축 사업: 인력 정보 메타데이터 표준안. 한국과학기술정보연구원.

11.

한국데이터베이스진흥센터. (2006). 데이터베이스 연계를 위한 통합 메타모델 개발(1차년도). 정보통신부.

12.

홍성화. (2004). 분류체계 일치를 통한 과학기술정보 상호 교환 방법에 관한 기초 연구. 정보관리연구, 35(3), 109-123.

13.

Godby, C. J., Young, J. A., Childress, E. (2004). A Repository of Metadata Crosswalks", D-Lib Magazine, 10(12), [cited 2007. 10. 8].. http://www.dlib.org/dlib/december04/godby/12godby.html.

14.

Fowler, J. (1999). Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1), 60-67.

15.

ISO/IEC JTC1. (2003). ISO/IEC 11179 Information Technology - Metadata Registries. ISO/IEC JTC1.

16.

Chan, L. M and Zeng, M. L. (2006). Metadata Interoperability and Standardization: A Study of Methodology (Part I) Achieving Interoperability at the Schema Level :D-Lib :Magazine, 12(6). http://www.slis.kent.edu/~mzeng/metadata/crosswalks.htm.

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