Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Consideration of a Collaborative Based Taxonomy for a Reusable Information Management System

재사용가능 정보관리시스템을 위한 협력기반 분류학의 고찰

  • Torres, Mari (Texas Woman's University, School of Library and Information Studies) ;
  • Lee, Hyuk-Jin (Texas Woman's University, School of Library and Information Studies)
  • Received : 2010.05.27
  • Accepted : 2010.06.16
  • Published : 2010.06.30
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Abstract

This exploratory study outlines the rationalization of why Ontology's taxonomy requires a strong hierarchy, accuracy, and interoperability in order to be used as a successfully re-useable information management system. Finding the relevant information in a plethora of possible resources by bridging the gap between the user's needs and the resources of the information technology system is the goal that the information management field should find a way to achieve. This study is based on discussions and interviews with a taxonomist, information architect, and information manager, whose discussions were based on the usability and interoperability of the knowledge based information systems. These professional perspectives are necessary as they are the liaison between users and the information technology group. We found that in order for information managers to ensure successful sharing of knowledge across the end users, a common sense language must be issued in order to achieve reasoning for the artificial intelligence system.

본 논문은 온톨로지의 텍사노미에게 강력한 계층분류, 정확성, 그리고 상호운용성이 성공적인 재사용가능한 정보관리시스템을 위해서 요구되는 이유에 대한 이론적설명을 서술한다. 수많은 가용정보중 이용자의 요구와 정보관리시스템이 보유한 적절한 정보를 연결하는 것은 정보학이 성취해야하는 목적일 것이다. 컴퓨터기술과 방대한양의 정보를 처리하는 기술력의 발전으로 이 목적은 가시화되고 있다. 본 연구는 분류학자들과의 심층인터뷰를 통해 최종이용자들을 위한 지식기반정보시스템의 가용성과 상호운용성에 대한 쟁점들에 대해 토론한다. 효과적인 정보관리시스템을 위해 온톨로지는 뛰어난 텍사노미를 요구하며, 텍사노미는 강력한 상호운용성을 필요로 한다. 본 논문은 특히 정보관리의 측면에서 상호운용성의 요소가 효과적인 텍사노미 구성의 주요요소임을 제안한다.

Keywords

References

  1. Beck, H. 2008. “Evolution of database designs for knowledge management in agriculture and natural resources.” [online]. [cited 2009.4.1] .
  2. Clarke, D. 2004. Integrating Taxonomies into Your Infrastructure. PodCast. City: iKMS.
  3. Crowston, K. 1994. “A Taxonomy of organizational dependencies and coordination mechanisms.” [online]. [cited 2010.5.27].
  4. Gruber, T. R. 1993. “A translation approach to portable ontology specifications.” Knowledge Acquisition, 5(2): 199-220. https://doi.org/10.1006/knac.1993.1008
  5. Jung, J. J. 2008. “Taxonomy alignment for interoperability between heterogeneous virtual organizations.” Expert Systems with Applications: An International Journal, 34(4): 2721-2731. https://doi.org/10.1016/j.eswa.2007.05.015
  6. Lambe, P. 2007. Organising Knowledge: Taxonomies, Knowledge and Organisational Effectiveness. Oxford: Chandos Publishing.
  7. Lambe, P. 2009. “Defining taxonomy.” [online]. [cited 2009.4.10]. .
  8. Malhotra, Y. 2000. “Knowledge management for ebusiness performance: advancing information strategy to ‘internet time.’” Information Strategy, The Executive’s Journal, 16(4): 5-16.
  9. Pejtersen, A. M., J. Rasmussen. and K. Schmidt. 1990. Taxonomy for Cognitive Work Analysis. Riso National Laboratory. Roskilde: Cognitive Systems Group.
  10. Schwartz, K. 2005. Domain Model Enhanced Search-A Comparison of Taxonomy, Thesaurus, and Ontology. Timo Kouwenhoven, CIBIT Consultants Educators.