A Study on the Construction and Usability Test of Meta Search System Using Open API (Open API 기반 메타 검색시스템의 사용성 평가에 관한 연구)

Jung-Eok Gu (구중억); Eung-Bong Lee (이응봉)

doi:10.3743/KOSIM.2009.26.1.185

A Study on the Construction and Usability Test of Meta Search System Using Open API

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2009, 26(1), pp.185~214
DOI : 10.3743/KOSIM.2009.26.1.185
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : February 16, 2009
Accepted : February 28, 2009
Published : March 30, 2009

Jung-Eok Gu ¹, Eung-Bong Lee ²

¹한국기초과학지원연구원
²충남대학교

Accredited

ABSTRACT

The purpose of this study is aimed to clarify the usefulness of meta search system using Open API of library online catalog by constructing OPAC-based search system using Open API of library online catalog and meta search system using Open API of library online catalog, and comparing the usability of the two experimental search systems. As for usability, on the whole, it was higher in meta search system using Open API of library online catalog than OPAC-based search system using Open API of library online catalog, and there was statistically significant difference. Therefore, if libraries share and use enriched content which is provided through Open API for book search, which is opened by Internet bookstores, search engines and Web portals, it is expected that it will be helpful in enhancing bibliographic data, expanding subject access point, empowering subject search ability, extending meta search service, improving book availability, and reducing catalog cost.

KEYWORDS

Online Catalog, OPAC, Open API, Meta Search System, Usability Test, Bibliographic Data, Library 2.0

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on the Construction and Usability Test of Meta Search System Using Open API

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* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on the Construction and Usability Test of Meta Search System Using Open API

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