정보관리학회지 (Journal of the Korean Society for information Management)

  • 제26권2호
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  • Pages.173-194
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  • 2009
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  • 1013-0799(pISSN)
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  • 2586-2073(eISSN)
한국정보관리학회 (Korean Society for Information Management)
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온톨로지 기반의 연구자정보 검색 인터페이스 설계

Designing Researcher Information Retrieval Interface based on Ontological Analysis

  • 발행 : 2009.06.30
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초록

최근 특정 도메인의 개념에 대한 정확한 정의, 계층적 관계나 추론규칙을 정형화된 어휘로 기술된 온톨로지 지식을 기반하는 시맨틱 탐색기법이 정보검색시스템에 응용됨에 따라 이용자는 보다 쉽게 지식기반을 항해할 수 있다. 본 연구의 목적은 의미적 애매성을 줄여주고, 의미적 관계성을 제시해 줌으로서 이용자가 보다 정확하고 쉽게 정보를 검색할 수 있게 해주는 온톨로지 기반의 정보검색 인터페이스를 개발하는 것이다. 이를 위해서 본 연구는 연구자정보 기술요소들의 클래스의 계층관계, 데이터의 계층관계 및 속성, 관계 연계성을 정의하였고 이를 기반으로 하여 구조화된 온톨로지를 기반으로 기술된 연구자정보를 검색할 수 있는 검색 인터페이스를 제안하였다. 이용자는 연구자들의 연구결과물, 개인적 데이터, 학력 또는 경력과 같은 개인정보를 검색할 수 있을 뿐만 아니라, 연구자의 사회적 연결 즉 같은 주제의 연구나 강의를 수행하는 연구자들 또는 같은 분야의 지적 커뮤니케이션에 속하는 연구자들을 브라우징 할 수 있다.

Recently, semantic search techniques which are based on information space as consisting of nonambiguous, non-redundant, formal pieces of ontological knowledge have been developed so that users do exploit large knowledge bases. The purpose of the study is to design more user-friendly and smarter retrieval interface based on ontological analysis, which can provide more precise information by reducing semantic ambiguity or more rich linked information based on well-defined relationships. Therefore, this study, first of all, focuses on ontological analysis on researcher information as selecting descriptive elements, defining classes and properties of descriptive elements, and identifying relationships between the properties and their restriction between relationships. Next, the study designs the prototypical retrieval interface based on ontology-based representation, which supports to semantic searching and browsing regarding researchers as a full-fledged domain. On the proposed retrieval interface, users can search various facts for researcher information such as research outputs or the personal information, or carrier history and browse the social connection of the researchers such as researcher group that is lecturing or researching on the same subject or involving in the same intellectual communication.

키워드

참고문헌

  1. Chu, Heting. 2006. Information Representation and Retrieval In the Digital Age. New Jersey: Information Today, Inc
  2. Chung, Hyun Sook and Young Sook Shin. 2008. 'Design and implementation of a syllabus management system based on ontology.' Journal of Korean Institute of Information Technology, 6(5): 108-114
  3. Fonseca, Frederico. 2007. 'The double role of ontologies in information science research.' Journal of the American Society for Information Science and Technology, 58(6): 786-793 https://doi.org/10.1002/asi.20565
  4. Gruber, T.R. 1993. 'Atransaction approach to portable ontologies.' Knowledge Acquisition, 5(2): 199-220 https://doi.org/10.1006/knac.1993.1008
  5. Han, Yong-Jin, Se-Young Park, Young-Hwa Lee, and Kweon-Yang Kim. 2008. 'Semantic search based on event ontology.' Journal of Electrical Engineering and Information Science, 14(1): 96-100
  6. Jee, Jeong Gyu. 2003. 'A study on the development of national researcher information database.' Journal of Korean Society for Computer Information, 10(1): 16-26
  7. Kim, Hak-Lae and Hong-Gee Kim. 2007. 'Personal electronic document retrieval system using semantic web/ontology technologies.' Journal of the Society for e-Business Studies 12(1): 135-149
  8. Kim, Pyung, Seung-Woo Lee, In-Su Kang, Han-Min Jung, Jung-Yeoun Lee, Won-Kyung Sung. 2008. 'The academic information analysis service using OntoFrame-recommendation of reviewers and analysis of researchers' accomplishments.' Journal of Electrical Engineering and Information Science, 35(7): 431-441
  9. Kim, Su-Kyoung and Kee-Hong Ahn. 2007. 'An implementation of inference-based web ontology for intelligent image retrieval system.' Journal of the Korean Society for information Management, 24(3): 119-147 https://doi.org/10.3743/KOSIM.2007.24.3.119
  10. Lee, Jung Hee and Hee Sop Kim. 2007. 'A design and implementation of ontology-based retrieval system for the electronic records of universities.' Journal of the Korean Society for information Management, 24(3): 343-362 https://doi.org/10.3743/KOSIM.2007.24.3.343
  11. McGuinness, Deborah L. and Frank Harmelen. 2004. 'OWL web ontology language: Overview.'
  12. Morbille, Peter. 2005. Ambient Findability. O'Reilly & Associates, Inc
  13. NAM, Jee-Sun. 2008. 'Etude sur les ontologies des informations de l'individu construites pour des moteurs de recherche.' Journal of French Education, 27: 201-229
  14. Noy, N.F. and D.L. McGuinness. 2002. 'Ontology development 101: a Guide to grating your first ontology.'
  15. Park, Chang Sup. 2007. 'Multimedia information retrieval using semantic relevancy.' Journal of Korean Society for Internet Information, 8(5): 67-79
  16. Park, Yoon Hee. 2008. Extracting the Information about Individuals to Build the Ontology Instance.' Master's thesis, Kyungpook National University
  17. Srinivasan, R. and J. Huang. 2005. 'Fluid ontologies for digital museums.' International Journal on Digital Libraries, 5(3): 193-204 https://doi.org/10.1007/s00799-004-0105-9
  18. Suh, Yong moo and Dong hee Yoo. 2008. 'An ontology-based hotel search system using semantic web technologies.' Journal of Society for e-Business Studies, 13(4): 71-92
  19. Vallet, David, Miriam Fernandez, and Pablo Castells, 2005. 'An ontology-based information retrieval model.'
  20. Yildiz, Burcu and Silvia Miksch. 2005. 'Ontology-Driven Information systems: challenges and requirements.'
  21. Yildiz, Burcu and Silvia Miksch. 2007. 'ontoX-a method for ontology-driven information extraction.' ICCSA, 3: 660-673 https://doi.org/10.1007/978-3-540-74484-9

피인용 문헌

  1. A Study on an Automatic Alignment Method of Distributed Ontology by Using Semantic Distance Measure Method vol.26, pp.4, 2009, https://doi.org/10.3743/KOSIM.2009.26.4.319