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http://dx.doi.org/10.7472/jksii.2020.21.4.87

A Study on the Content Utilization of KISTI Science and Technology Information Service  

Kang, Nam-Gyu (Convergence Service Center, Korea Institute of Science and Technology Information)
Hwang, Mi-Nyeong (Div. of National S&T Data, Korea Institute of Science and Technology Information)
Publication Information
Journal of Internet Computing and Services / v.21, no.4, 2020 , pp. 87-95 More about this Journal
Abstract
The Science and Technology Information Service provided by the Korea Institute of Science and Technology Information (KISTI) is a service designed to allow users to easily and conveniently search and view content that is built similar to the general information service. NDSL is KISTI's core science, technology and information service, providing about 138 million content and having about 93 million page views in a year of 2019. In this paper, various insights were derived through the analysis of how science and technology information such as academic papers, reports and patents provided by NDSL is searched and utilized through web services (https://www.ndsl.kr) and search query words. In addition to general statistics such as the status of content construction, utilization status and utilization methods by type of content, monthly/weekly/time-of-day content usage, content view rate per one-time search by content type, the comparison of the use status of academic papers by year, the relationship between the utilization of domestic academic papers and the KCI index we analyzed the usability of each content type, such as academic papers and patents. We analyzed query words such as the language form of query words, the number of words of query words, and the relationship between query words and timeliness by content type. Based on the results of these analyses, we would like to propose ways to improve the service. We suggest that NDSL improvements include ways to dynamically reflect the results of content utilization behavior in the search results rankings, to extend query and to establish profile information through non-login user identification for targeted services.
Keywords
science and technology information; S&T information service; content utilization analysis; extended query; user profile information;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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