본문 바로가기
  • Home

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.

Citation status

* References for papers published after 2022 are currently being built.