An Improvement study in Keyword-centralized academic information service - Based on Recommendation and Classification in NDSL - (키워드 중심 학술정보서비스 개선 연구 - NDSL 추천 및 분류를 중심으로 -)

Sun-Kyum, Kim (김선겸); Wan Jong Kim (김완종); tae seok lee (이태석); Su-Yeong Bae (배수영)

doi:10.16981/kliss.49.4.201812.265

An Improvement study in Keyword-centralized academic information service - Based on Recommendation and Classification in NDSL -

Journal of Korean Library and Information Science Society
Abbr : JKLISS
2018, 49(4), pp.265-294
DOI : 10.16981/kliss.49.4.201812.265
Publisher : Korean Library And Information Science Society
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 20, 2018
Accepted : December 18, 2018

Sun-Kyum, Kim ¹, Wan Jong Kim ¹, tae seok lee ¹, Su-Yeong Bae ¹

¹한국과학기술정보연구원

Accredited

ABSTRACT

Nowadays, due to an explosive increase in information, information filtering is very important to provide proper information for users. Users hardly obtain scholarly information from a huge amount of information in NDSL of KISTI, except for simple search. In this paper, we propose the service, PIN to solve this problem. Pin provides the word cloud including analyzed users’ and others’ interesting, co-occurence, and searched keywords, rather than the existing word cloud simply consisting of all keywords and so offers user-customized papers, reports, patents, and trends. In addition, PIN gives the paper classification in NDSL according to keyword matching based classification with the overlapping classification enabled-academic classification system for better search and access to solve this problem. In this paper, Keywords are extracted according to the classification from papers published in Korean journals in 2016 to design classification model and we verify this model.

KEYWORDS

Recommendation, Classification, Keyword, Word cloud, the academic classification system, NDSL

Citation status

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

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Journal of Korean Library and Information Science Society 2023 KCI Impact Factor : 1.02

An Improvement study in Keyword-centralized academic information service - Based on Recommendation and Classification in NDSL -

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

Journal of Korean Library and Information Science Society 2023 KCI Impact Factor : 1.02

An Improvement study in Keyword-centralized academic information service - Based on Recommendation and Classification in NDSL -

ABSTRACT

KEYWORDS

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