• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.303-323
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• 2023

The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.341-362
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• 2017

This study is to analyze the applicability of new technologies to be applied to the foreseeable future's library. For this purpose, we measured the users' intention to accept the service by using the NFC based self-check out service as a new technology applicable to the library. Based on the Unified Theory of Acceptance Use of Technology (UTAUT), research models were derived, and the structural relationships between performance expectations, effort expectations, facilitation conditions, and perceived risks were analyzed. As a result of the analysis, perceived threats in the library did not affect the intention to use, and the performance expectation, effort expectation, and facilitation condition partially affected the intention to use. The gender of the moderator variable, there were some significant difference in promoting conditions.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.1-21
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• 2020

This study applied automatic classification using table of contents (TOC) text for 6,253 social science books from a newly arrived list collected by a university library. The k-nearest neighbors (kNN) algorithm was used as a classifier, and the ten divisions on the second level of the DDC's main class 300 given to books by the library were used as classes (labels). The features used in this study were keywords extracted from titles and TOCs of the books. The TOCs were obtained through the OpenAPI from an Internet bookstore. As a result, it was found that the TOC features were good for improving both classification recall and precision. The TOC was shown to reduce the overfitting problem of imbalanced data with its rich features. Law and education have high topic specificity in the field of social sciences, so the only title features can bring good classification performance in these fields.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.1
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• pp.23-38
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• 2009

The purpose of this study was to suggest the collection codes and simplification of call numbers for children's easy access to the children's materials. The classification schemes, author tables, expansion of classification schemes, collections codes, classification numbers used in domestic and foreign children's libraries were surveyed through questionnaires and interviewing with librarians. As a result, in foreign children's libraries, it was common practice to shelve children's materials separately into various collections and sub-collections, to mark the spine with collection code and the lead characters of the author's last name, and not to stick with their classification scheme when it comes to highly circulated children's materials such as fiction, picture book, biographies and so on. Also, in domestic children's libraries, it was found that a collection code was used a few and each call number was almost assigned by KDC number. Therefore, it was suggested that the types and codes of collection and sub-collection were divided as non-fiction, fiction, fiction/mystery, fiction/science fiction, picture book, cartoon, language, folks and fairy tales, biographies, legend, concept book, holiday, award, dinosaur, insect, DIY, transportation, tall book, pop-up, story book, board book, reference, magazine, series, new book, video, and audio and were easily expanded by combining age tables or fiction genre. Also, new simplifying methods of building call numbers with collection codes were suggested.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.347-373
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• 2022

In this study, in order to expand the access points of reading materials, a reading material classification (RMC) system based on the facets of book use was devised. The facets of books that can be considered by book users in the reading situation were content-analyzed. Also, through network analysis, subject headings adjacent to one subject heading were grouped into related subject headings. The RMC developed in this study can be used as a tool that provides various access points to help book users search in the library OPAC and other reading information systems.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.159-179
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• 2019

The purpose of this study is to re-approach the concept of data literacy, to describe the differences with other literacies along with the redefined concept of data literacy. Also, it is tried to find out why and how to use data literacy for library and information services. Research has shown that data literacy plays a central role in interacting with other literacy concepts, and should be understood as a data-driven problem-solving ability that is essential for the future human society. Based on these concept definitions, we propose the application of data literacy to library information service in terms of education service and research support service. In this study, data literacy is defined as the ability to utilize data needed by users in a data - based society, is to explain why data literacy is the ability to utilize data for users in modern society by distinguishing differences from other literacy. This concludes with a discussion and proposal on what library information services can be implemented.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.139-153
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• 2000

This article focuses on a transaction log analysis of the DISCOVER online catalog user interface at Duksung Women's University Library. The results show that the most preferred access point is the title field with rate of 59.2%. The least used access point is the author field with rate of 11.6%. Keyword searching covers only about 16% of all access points used. General failure rate of searching is 13.9% with the highest failure rate of 19.8% in the subject field and the lowest failure rate of 10.9% in author field.

• Korean Architects
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• no.9 s.329
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• pp.112-115
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• 1996

강원전문대학신축설계경기의 당선작이 지난 6월21일 발표되었다. 총 9개의 작품이 응모한 이번 설계경기에서는 주.엄앤드이건축사 사무소(이각표)와 주.종합건축사사무소 산(한광호)의 공동안이 당선작으로 선정되었으며 주.건축사사무소 원.시공.형제(정상원)와, 주,건축사종합건축사사무소(공순구)의 안이 각각 우수작으로 선정되었다. 이 설계경기는 강릉시 주문진의 주문진소속고등학교 4만 8천여평 부지의 기존교사동, 실습동 증축과 대학본관, 도서관 등을 비롯 부대시설을 건립하는 것으로, 한국교육개발원의 '강원전문대설립방안 및 중.장기발전계획연구'에 의거 전문대학의 설립이념 및 목적, 설치학과 및 학생정원, 시설확충계획의 반영, 옥외시설 오픈스페이스 등을 충분히 고려하여야하는 것을 기본 설계방향으로 잡았다. 이번 심사는 한봉기(기획관), 이중근(건설교통국장)과 강원대, 관동대, 삼척산업대, 춘천교육대의 건축 및 조경학과 교수 등 총 10명이 맡았다. 당선된 주.엄앤드이건축사사무소와, 주.종합건축사사무소 산의 공동안은 적절한 조닝캠퍼스 내외의 접근성양호와 보차분리와 토지이용계획의 우수 등 여러 부분에서 심사위원들의 높은 점수를 받았다.

• Journal of Korean Society of Archives and Records Management
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• v.2 no.1
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• pp.119-131
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• 2002

The study designs and implements a KORMARC/EAD integrated system for the Myongji Digital Library Collections. The purpose of this paper is to design the metadata to Myongji Korean History Collections to provide digital information of high quality to clients, and to develop and implement a model for managing digital library collections. In order to test the model and the quality of the derived metadata, we built a metadata management system, which is connected to the existing KORMARC system. The system consists of two modules- a retrieval and an input module. While in the retrieve mode, one can retrieve KORMARC records of books and archival items, with links to modified EAD files for archival items or to image files for books, in the input mode, one can type two types of data such as a catalog data and an inventory data. Finally, we evaluated the proposed system via mail questionnaires, and propose three suggestions to make this system a much more comprehensive and effective system.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.789-796
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• 2005

Because existing information retrieval systems, in particular library retrieval systems, use 'exact keyword matching' with user's query, they present user with massive results including irrelevant information. So, a user spends extra effort and time to get the relevant information from the results. Thus, this paper will propose SULRM a Retrieval Model using Subject Classification Table, User profile, and LSI(Latent Semantic Indexing), to provide more relevant results. SULRM uses document filtering technique for classified data and document ranking technique for non-classified data in the results of keyword-based retrieval. Filtering technique uses Subject Classification Table, and ranking technique uses user profile and LSI. And, we have performed experiments on the performance of filtering technique, user profile updating method, and document ranking technique using the results of information retrieval system of our university' digital library system. In case that many documents are retrieved proposed techniques are able to provide user with filtered data and ranked data according to user's subject and preference.