바로가기메뉴

본문 바로가기 주메뉴 바로가기

A Study of the Integrated Operation for Databases with Different Data Structures

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2011, v.45 no.3, pp.69-85
https://doi.org/10.4275/KSLIS.2011.45.3.069


  • Downloaded
  • Viewed

Abstract

This study reviewed theories for database integration, which combines heterogeneous data structures, and suggested a practical method to integrate databases of Korean Research Memory(KRM) and Infrastructural Basic Research(IBR) as a case study. In order to broadly distribute the outcomes of IBR, it is essential to be connected to and integrated with the database of KRM. As a solution, it was suggested that the current database of IBR should follow standard guidelines as a XML database, and its future database should be integrated with the database of KRM or be established as a stand-alone system.

keywords
Korean Research Memory, Infrastructural Basic Research, Heterogeneous Data Integration, Data Mapping, Crosswalk, Metadata Registry, 기초학문자료센터, 토대기초연구, 이형데이터 통합, 데이터 매핑, 크로스워크, 메타데이터 레지스트리

Reference

1.

고영만, 서태설, 임태훈. 2007. 의미 호환을 위한 메타데이터 매핑 연구. 정보관리학회지 , 24(4):223-238.

2.

권도훈, 박성공, 이정욱, 백두권. 2001. 표준 인터페이스를 이용한 데이터베이스 통합. 한국정보과학회 봄 학술발표논문집 , 28(1B): 145-147.

3.

박동진, 이상태, 최기석. 2006. 메타데이터 기반의 연구성과정보 검색시스템의 개념적 설계. 정보관리연구 , 37(2): 1-20.

4.

박석훈. 2008. 대통령기록관리시스템의 구축. 기록인 , 2008(봄): 56-61.

5.

이태웅, 권주흠, 백두권, 2002. 메타데이터 레지스트리 기반의 XML 스키마 생성기법. 한국정보과학회 2002년도 가을 학술발표논문집 , 29(2(Ⅰ)): 181-183.

6.

임건면, 노승익. 2007. 기초학문자료센터 운영을 위한 제도연구 -법률적 문제, 특히 저작권을 중심으로 . [서울]: 한국학술진흥재단.

7.

조광. 2007. 연구소 지원을 통한 인문학 인프라 구축과 전임연구인력 활용 방안에 대한 연구 .[서울]: 한국학술진흥재단.

8.

기초학문자료센터. [online]. [cited 2010.7.1]. <http://www.krm.or.kr>.

9.

Chan, L. M., & Zeng, M. L. 2006. “Metadata interoperability and standardization-a studyof methodology part I: Achieving interoperability at the schema level.” D-Lib Magazine[online], 12(6). [cited 2011.8.3]. <http://www.dlib.org/dlib/june06/chan/06chan.html>.

10.

Dublin Core Metadata Initiative. [online]. [cited 2010.7.1]. <http://dublincore.org>.

11.

Sousa, Mauro, Mattoso, Marta, & Ebecken, Nelson F. F. 1998. “Data-Mining: A tightlycoupledimplementation on a parallel database server.” International Workshop on Databaseand Expert Systems Applications, 9: 711-716.

12.

NISO (National Information Standards Organization). 2004. Understanding Metadata. Bethesda,MD: NISO Press. [online]. [cited 2011.8.3].<http://www.niso.org/standards/resources/UnderstandingMetadata.pdf>.

13.

OCLC Crosswalk Web Service Demo. [online]. [cited 2010.7.1].<http://xwalkdemo.oclc.org/webservices/metadata/crosswalk?wsdl>.

14.

Agrawal, Rakesh, & Shim, Kyuseok. 1996. “Developing tightly-coupled data mining applicationson a relational database system.” International Conference on Knowledge Discovery and DataMining, 2: 287-290.

15.

Croft, W. Bruce, Smith, Lisa Ann, & Turtle, Howard R. 1992. “A loosely-coupled integrationof a text retrieval system and an object-oriented database system.” In Proceedings of th15th Annual International ACM SIGIR Conference on Research and Development inInformation Retrieval, 223-232.

16.

Zeng, M. L., & Chan, L. M. 2006. “Metadata interoperability and standardization-a studyof methodology part II: Achieving interoperability at the record and repository levels.”D-Lib Magazine [online], 12(6). [cited 2011.8.3].<http://www.dlib.org/dlib/june06/zeng/06zeng.html>.

Journal of the Korean Society for Library and Information Science