A Preliminary Study on the Multiple Mapping Structure of Classification Systems for Heterogeneous Databases

Authors

  • Seok-Hyoung Lee Senior Researcher, Department of Overseas Information, Korea Institute of Science and Technology Information
  • Hwan-Min Kim Senior Researcher, Department of Overseas Information, Korea Institute of Science and Technology Information, Korea
  • Ho-Seop Choe IT Researcher, Department of New Museum Planning & Construction, National Museum of Contemporary Art, Korea (Corresponding Author)

Keywords:

Classification, Mapping Structure, Mapping System, Standard Classification

Abstract

While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists’ research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to achieve interoperability of the information and thus not easy to implement meaningful science technology information services through information convergence. This study aims to address the aforementioned issue by analyzing mapping systems between classification systems in order to design a structure to connect a variety of classification systems used in the academic information database of the Korea Institute of Science and Technology Information, which provides science and technology information portal service. This study also aims to design a mapping system for the classification systems to be applied to actual science and technology information services and information management systems.

URL: http://ijkcdt.net/xml/00646/00646.pdf

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Published

2012-06-30

How to Cite

Lee, S.-H., Kim, H.-M., & Choe, H.-S. (2012). A Preliminary Study on the Multiple Mapping Structure of Classification Systems for Heterogeneous Databases. International Journal of Knowledge Content Development & Technology, 2(1). Retrieved from https://journals.sfu.ca/ijkcdt/index.php/ijkcdt/article/view/23

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Articles