• Title/Summary/Keyword: 한국문헌정보학과

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An Analysis on the Current Status and Situation of Academic Library Disability Services in Daegu-Gyeongbuk Area (대구·경북 대학도서관의 장애인서비스 현황 분석)

  • Ban, Dal-Rim;Yeo, Ji-Sook;Oh, Dong-Geun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2015.08a
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    • pp.135-138
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    • 2015
  • 장애인들을 위한 여러 법에서는 비장애인과의 동등한 권리를 보장한다고 주장하고 있고, 이들이 생활하는 데 불편함이 없도록 여러 시설물들을 규정하고 있다. 또한 최근 장애학생들의 대학 진학률이 증가하면서 대학에서도 장애학생을 위한 시설과 서비스를 제공하고 있다. 이 연구에서는 대구 경북 지역의 대학도서관들을 대상으로 장애학생들을 위한 서비스 현황과 그 문제점을 분석하였다.

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A Comparison of Author Name Disambiguation Performance through Topic Modeling (토픽모델링을 통한 저자명 식별 성능 비교)

  • Kim, Ha Jin;Jung, Hyo-jung;Song, Min
    • Proceedings of the Korean Society for Information Management Conference
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    • 2014.08a
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    • pp.149-152
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    • 2014
  • 본 연구에서는 저자명 모호성 해소를 위해 토픽모델링 기법을 사용하여 저자명을 식별 하였다. 기존의 토픽모델링은 용어 자질만을 고려하였지만 본 연구에서는 제 3의 메타데이터 자질을 활용하여 ACT(Author-Conference Topic Model) 모델과 DMR(Dirichlet-multinomial Regression) 토픽모델링을 대상으로 저자명 식별 성능을 평가, 비교하였다. 또한 수작업으로 저자 식별 작업을 한 데이터셋을 기반으로 저자 당 논문 수와 토픽 수에 차이를 두고 연구를 진행하였다. 그 결과 저자명 식별에 있어 ACT 모델보다 DMR 토픽모델링의 성능이 더 우수한 것을 알 수 있었다.

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An Evaluation of University Library Sites Based on Eye Tracking (아이트래킹을 통한 대학도서관 웹 사이트 평가에 관한 연구)

  • Kang, Min-Hye;Park, Hye-Lin;Oh, Jin-Myung
    • Proceedings of the Korean Society for Information Management Conference
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    • 2015.08a
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    • pp.67-70
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    • 2015
  • 본 연구는 대학도서관 웹 사이트를 평가하는 방법의 하나로 아이트래킹이라는 새로운 평가 방법을 제시하고자 한다. 아이트래킹은 눈동자를 추적하여 인간의 반응 및 상호작용을 연구하는 기법으로 실험대상자가 현재 무엇을 보고 있는지에 대한 직접적인 데이터 축적이 가능하고 웹 사이트와 같이 평면의 일정영역을 가진 대상을 연구하는데 적합하다. 추후 대학도서관에서 아이트래킹을 활용한 대학도서관 웹 사이트 평가를 실시한다면 이용자 요구를 반영한 웹 사이트 구축 및 운영에 도움이 될 것이다.

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Health-related Courses' Topics and Contents of ALA-accredited Library and Information Science Programs (문헌정보학 건강 관련 과목의 주제 및 내용 분석: ALA 인가를 받은 프로그램을 중심으로)

  • Oh, Sanghee;Kim, Soojung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.4
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    • pp.69-89
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    • 2018
  • This study aims to examine the current status of health-related courses at the graduate level from American Library Association-accredited LIS programs and to identify the core topics and contents that have been covered in those courses by analyzing the course syllabi. Findings reveal that 44 out of 61 Library and Information Science (LIS) programs were offering at least one health-related course and the three most offered courses were 'health information resources', 'health informatics', and 'consumer health information (CHI)'. We collected a total of 21 course syllabi available online in the three areas and further analyzed their course descriptions, weekly topics, readings, and assignments. The findings of the study could be valuable for instructors who want to design or upgrade health-related courses in LIS programs.

Research on Overseas Trends and Emerging Topics in Field of Library and Information Science (문헌정보학분야 해외 연구 동향 및 유망 주제 분석 연구)

  • Bon Jin Koo;Durk Hyun Chang
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.71-96
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    • 2023
  • This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

A Study on the Current Status and Improvement of Integrated Information Retrieval of University Digital Libraries Using Mashup (매쉬업을 이용한 대학도서관의 통합정보검색 현황 및 개선방안 연구)

  • Kang, Jeong Won;Kim, Hyun-Hee
    • Proceedings of the Korean Society for Information Management Conference
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    • 2013.08a
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    • pp.133-136
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    • 2013
  • 본 연구는 개방.참여.공유를 통한 정보창출과 활용의 목적으로 시작된 웹2.0 서비스의 하나인 매쉬업 검색기능에 대한 대학도서관 이용자들의 사용실태 및 최근 사용이 증가하고 있는 SNS에 대한 이용 실태를 조사하고, 이를 토대로 향후 도서관 통합검색의 기능향상과 개선방안을 모색하고자 한다.

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A Study on the Official Document Literacy and Archival Literacy (공문서 리터러시와 기록정보리터러시)

  • Hong, Soram;Chang, Woo-Kwon
    • Proceedings of the Korean Society for Information Management Conference
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    • 2017.08a
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    • pp.39-42
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    • 2017
  • 이 연구는 기록정보 리터러시의 대상과 범주를 공문서 리터러시와 연결시키고 각 리터러시 간 구성요소간의 관계를 증명하여 기록의 접근성과 활용성을 공공의 영역으로 확장하는 이론적 근거를 마련하기 위해 연구문제와 연구모형을 제시하고자 한다.

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Automatic Generation of Bibliographic Metadata with Reference Information for Academic Journals (학술논문 내에서 참고문헌 정보가 포함된 서지 메타데이터 자동 생성 연구)

  • Jeong, Seonki;Shin, Hyeonho;Ji, Seon-Yeong;Choi, Sungphil
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.241-264
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    • 2022
  • Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

Discussion and Analysis Study on the Introduction Plan of the Librarian Qualification System (사서자격인증제도의 도입방안에 관한 논의 및 분석연구)

  • Hong, Hyun-Jin;Noh, Younghee;Ro, Ji-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.3
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    • pp.17-56
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    • 2021
  • The purpose of this study was to focus on the discussion on the introduction of the librarian qualification certification system, which is being discussed as a way to raise the qualification level of experts as a system for expert certification and to raise social awareness as experts. First, the introduction of the library and information science curriculum certification system was discussed. Second, the issues to be considered when introducing the certification system were discussed. In other words, we analyzed in depth what matters we should consider when discussing the certification system. Third, the components of domestic and overseas certification systems were investigated and analyzed, and measures applicable to the librarian qualification certification system were discussed. Fourth, it was proposed to introduce a certification system for the Department of Library and Information Science. Also, based on the results of the analysis, it was suggested what could be a problem when introducing the certification system to the Department of Library and Information Science in Korea and what contents should be reviewed. In this study, in order to propose the introduction of the librarian qualification certification system, the purpose of the librarian qualification certification system, the certification criteria, the certification institution, and the contrast between the university and the Department of Library and Information Science were also dealt with in detail.

Text Mining Driven Content Analysis of Social Perception on Schizophrenia Before and After the Revision of the Terminology (조현병과 정신분열병에 대한 뉴스 프레임 분석을 통해 본 사회적 인식의 변화)

  • Kim, Hyunji;Park, Seojeong;Song, Chaemin;Song, Min
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.285-307
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    • 2019
  • In 2011, the Korean Medical Association revised the name of schizophrenia to remove the social stigma for the sick. Although it has been about nine years since the revision of the terminology, no studies have quantitatively analyzed how much social awareness has changed. Thus, this study investigates the changes in social awareness of schizophrenia caused by the revision of the disease name by analyzing Naver news articles related to the disease. For text analysis, LDA topic modeling, TF-IDF, word co-occurrence, and sentiment analysis techniques were used. The results showed that social awareness of the disease was more negative after the revision of the terminology. In addition, social awareness of the former term among two terms used after the revision was more negative. In other words, the revision of the disease did not resolve the stigma.