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The Access-Enhanced Search Interface Design for Korean Paintings

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2008, v.25 no.2, pp.25-48
https://doi.org/10.3743/KOSIM.2008.25.2.025


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Abstract

The purpose of this study is to suggest retrieval interfaces for Korean paintings which support users to retrieve specific digitalized images of them through various access points and to widely browse based on unique features Korean paintings. The study, first, develops a set of descriptive elements suitable for Korean paintings. Twenty-six core elements and one hundred seventy-two attributes are selected as descriptive items for Korean paintings based on the opinion of 8 experts. Then, to gain realistic evidence of what descriptive elements of image serve users as access points, it is investigated which elements are used as retrieval access points among 26 core elements by 300 peered users who are consisted with two groups such as common users and domain specialists. The study, in final, designs two(general and advanced) types of search interfaces and display interfaces based on the most popular top 15 descriptive elements. This access-enhanced platform which enables user-oriented searches will satisfy users in image retrieving.

keywords
한국화 검색 인터페이스, 인터페이스 설계, 이미지 검색, 이미지 기술요소, 검색 접근점, 한국화 검색, access-enhanced retrieval interface, interface design, image retrieval, descriptive elements of image, retrieval access points, search interface, display interface, Korean paintings

Reference

1.

Chen, Hsin-Liang. (2001). An analysis of image queries in the field of art history. Journal of the American Society for Information Science and Technology, 52(3), 260-273.

2.

Cheng, Jen. (2004). Effective image annotation for searches using multi-level semantics. Institute of Information Science, 10(4), 258-271.

3.

조윤희. (2004). 문화콘텐츠 통합을 위한 메타데이터 포맷 연구(II)-도서관, 박물관, 미술관 사례를 중심으로-. 한국문헌정보학회지, 38(3), 201-219.

4.

Choi, Youngok. (2003). Searching for images: The analysis of users' queries for image retrieval in American History. Journal of the American Society for Information Science and Technology, 54(6), 498-511.

5.

Dunlop, M.D.. (1993). Hypermedia and free text retrieval. Journal of Information Processing and Management, 29(3), 287-298.

6.

Elworthy, D.. (2001). A natural language system for retrieval of captioned images. Journal of Natural Language Engineering, 7(2), 117-142.

7.

Enser, G.B.. (2006). Facing the reality of semantic image retrieval. Mathematical and Information Sciences, 63(4), 465-481.

8.

Goodrum, A.A.. (2001). An open source agenda for research linking text and image content feature. Journal of the American Society for Information Science and Technology, 52(11), 948-953.

9.

Harmandas, V.. (1997). Image retrieval by hypertext links (-). Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM Press.

10.

Hong Yong-seon. (2007). The world of Korean Paintings:The world of art.

11.

Hong Yong-seon. (2007). Current Korean Paintings:The world of art.

12.

Hwang Dong-yeol. (2002). A Study on Data Ele- ments of Digital Contents in Art Documen- tation System. Journal of the Korean Biblia Society For Library And Information Sci- ence, 13(1), 93-113.

13.

Jansen, Bernard. (2008). Searching for digital images on the web. Journal of Documentation, 64(1), 81-101.

14.

Kim, Jeong-taek. (2003). A study on Cyber Gallery Model Designs for Metadata Based Art Works Description.

15.

Kim, Nok-hwan. (2002). A study on the development of digital museum using XML. Journal of Knowledge Processing and Management, 37(1), 41-62.

16.

김성희. (2004). 내용기반 이미지 및 비디오 검색 시스템 성능분석에 관한 연구. 한국비블리아학회지, 15(2), 97-115.

17.

Kim, Su-jeong. (2004). An Image Retrieval System Integration Metadata and visual Features.

18.

Krause, M.G.. (1988). Intellectual problems of indexing picture collections. Audiovisual Lib- rarian, 14(2), 73-81.

19.

Lewis, P.H.. (2004). An integrated content and metadata based retrieval system for art. Institute of Electrical and Electronics Engineers, 13(3), 302-313.

20.

Matusiak, K.K.. (2006). Towards user-centered indexing in digital image collections. OCLC Systems & Services, 22(1), 85-93.

21.

Statford, Layne S.. (1994). Some issues in the indexing of image. Journal of the American Society for Information Science, 45(8), 583-588.

22.

Yang, Christopher. (2004). Content-based image retrieval: a comparison between query by example and image browsing map app- roaches. Journal of Information Science, 30(3), 254-267.

23.

유소영. (2004). 심미적 인상을 이용한 이미지 검색에 관한 실험적 연구. 정보관리학회지, 21(4), 187-208.

Journal of the Korean Society for Information Management