바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

온톨로지 기반의 연구자정보 검색 인터페이스 설계

Designing Researcher Information Retrieval Interface based on Ontological Analysis

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2009, v.26 no.2, pp.173-194
https://doi.org/10.3743/KOSIM.2009.26.2.173
서은경 (한성대학교)
박미향
  • 다운로드 수
  • 조회수

Abstract

Recently, semantic search techniques which are based on information space as consisting of non- ambiguous, 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.

keywords
researcher information, retrieval interface, ontology, ontological analysis, semantic search technique, 연구자정보, 정보검색, 온톨로지, 온톨로지 분석, 시맨틱 탐색기법, researcher information, retrieval interface, ontology, ontological analysis, semantic search technique

참고문헌

1.

Chu, Heting. (2006). Information Representation and Retrieval In the Digital Age:Information Today.

2.

졍헌숙. (2008). 온톨로지 기반 강의계획서 관리 시스템 설계 및 구현. 한국정보기술학회논문지, 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.

4.

Gruber, T.R. (1993). Atransaction approach to portable ontologies. Knowledge Acquisition, 5(2), 199-220.

5.

Han, Yong-Jin. (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 data- base. Journal of Korean Society for Com- puter Information, 10(1), 16-26.

7.

김학래. (2007). 시맨틱 웹/온톨로지 기술을 이용한 개인용 전자문서 검색 시스템. 한국전자거래학회지, 12(1), 135-150.

8.

Kim, Pyung. (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.

김수경. (2007). 지능형 이미지 검색 시스템을 위한 추론 기반의 웹 온톨로지 구축. 정보관리학회지, 24(3), 119-147.

10.

이정희. (2007). 대학 전자기록물을 위한 온톨로지 기반 검색시스템 설계 및 구현. 정보관리학회지, 24(3), 343-362.

11.

McGuinness. (2004). OWL web ontology language: Overview. http://www.w3.org/TR/2004/REC-owl-featur.

12.

Morbille, Peter. (2005). Ambient Findability:O’Reilly & Associates.

13.

NAM, Jee-Sun. (2008). Etude sur les ontologies des informations de l’individu construites pour des moteurs de recherché. Journal of French Education, 27, 201-229.

14.

Noy, N.F. (2002). Ontology development 101: a Guide to grating your first ontology. http://protege.stanfaord.edu/publications/ontology-development/ontology-noy-mcauiness.html.

15.

박창섭. (2007). 의미적 연관성을 이용한 멀티미디어 정보 검색. 인터넷정보학회논문지, 8(5), 67-79.

16.

Park, Yoon Hee. (2008). Extracting the Information about Individuals to Build the Ontology Instance.

17.

Srinivasan, R. (2005). Fluid ontologies for digital museums. International Journal on Digital Libraries, 5(3), 193-204.

18.

유동희. (2008). 시맨틱 웹 기술을 이용한 온톨로지기반 호텔 검색 시스템. 한국전자거래학회지, 13(4), 71-92.

19.

Vallet, David. (2005). An ontology-based infor- mation retrieval model. http://www.acemedia.org/aceMedia/files/document/wp7/2005/eswc05-uam.pdf/.

20.

Yildiz, Burcu. (2005). Ontology- Driven Information systems: challenges and requirements. http://public.tuwien.ac.at/files/pub-inf_4601.pdf.

21.

Yildiz, Burcu. (2007). ontoX - a method for ontology-driven information extraction. ICCSA, 3, 660-673.

정보관리학회지