• Title/Summary/Keyword: 서지정보학

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A Systematic Review on Concept-based Image Retrieval Research (체계적 분석 기법을 이용한 의미기반 이미지검색 분야 고찰에 관한 연구)

  • Chung, EunKyung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.25 no.4
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    • pp.313-332
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    • 2014
  • With the increased creation, distribution, and use of image in context of the development of digital technologies and internet, research endeavors have accumulated drastically. As two dominant aspects of image retrieval have been considered content-based and concept-based image retrieval, concept-based image retrieval has been focused in the field of Library and Information Science. This study aims to systematically review the accumulated research of image retrieval from the perspective of LIS field. In order to achieve the purpose of this study, two data sets were prepared: a total of 282 image retrieval research papers from Web of Science, and a total of 35 image retrieval research from DBpia in Kore for comparison. For data analysis, systematic review methodology was utilized with bibliographic analysis of individual research papers in the data sets. The findings of this study demonstrated that two sub-areas, image indexing and description and image needs and image behavior, were dominant. Among these sub-areas, the results indicated that there were emerging areas such as collective indexing, image retrieval in terms of multi-language and multi-culture environments, and affective indexing and use. For the user-centered image retrieval research, college and graduate students were found prominent user groups for research while specific user groups such as medical/health related users, artists, and museum users were found considerably. With the comparison with the distribution of sub-areas of image retrieval research in Korea, considerable similarities were found. The findings of this study expect to guide research directions and agenda for future.

A Study on the Characteristics of Integrated Search Services in Public Libraries in Korea: Focusing on the Integrated Libraries of Local Autonomous Entities of Seoul City (우리나라 공공도서관의 통합검색 서비스 특성에 관한 연구: 서울시 자치구 통합도서관을 중심으로)

  • Soo-Sang Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.3
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    • pp.1-23
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    • 2023
  • The purpose of this study is to analyze the characteristics of the integrated search services for integrated libraries operated by local governments in Korea. The target of analysis was integrated libraries operated by 25 local governments in Seoul, and the analysis elements were selected from service functions in 12 areas related to integrated search. The results of the study are as follows. First, the integrated library is an association of public libraries and small libraries in autonomous districts and provides integrated search services. The provided integrated search service function, types of bibliographic information, and facets are not diverse. Second, the records in the search results were mostly item types, not title types. Third, enrichment information supplementing book information consists of book introductions, related information, book-related keywords, and loan-related information. Fourth, integrated search shows the form of integrated OPAC based on integrated catalog DB rather than discovery-type search. It concentrates on providing an integrated search for catalog DBs distributed in public libraries or small libraries in the autonomous district. Fifth, most integrated libraries provide similar service types. Based on these results, improvement plans were proposed for domestic public libraries to expect discovery-type integrated search services.

Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.153-172
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    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

A Study on the Intellectual Structure of Metadata Research by Using Co-word Analysis (동시출현단어 분석에 기반한 메타데이터 분야의 지적구조에 관한 연구)

  • Choi, Ye-Jin;Chung, Yeon-Kyoung
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.63-83
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    • 2016
  • As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

The Impact of an Ontological Knowledge Representation on Information Retrieval: An Evaluation Study of OCLC's FRBR-Based FictionFinder (정보검색에 온톨로지 지식 표현이 미치는 영향에 대한 연구: OCLC의 FRBR기반 FictionFinder의 평가를 중심으로)

  • Cho, Myung-Dae
    • Journal of the Korean Society for information Management
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    • v.25 no.2
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    • pp.183-198
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    • 2008
  • With the purpose of enriching existing catalogues with FRBR, which is the Functional Requirements for Bibliographic Records, in mind, this paper aims to evaluate the impact of bibliographic ontology on the overall system's performance in the field of literature. In doing this, OCLC's FictionFinder(http://fictionfinder.oclc.org) was selected and qualitatively evaluated. In this study 40 university seniors evaluated the following three aspects using the 'transferring thoughts onto paper method': 1) In which ways is this FRBR-aware bibliographical ontology helpful? 2) Are the things which are initially attempted to be helped being helped? 3) Would users seeking one work in particular also see all other related works? In conclusion, this study revealed that, as Cutter claimed in his $2^{nd}$ rule of the library, collocations give added-value to the users and overall ontology provides better interface and usefulness. It also revealed that a system's evaluation with qualitative methodology helped to build full pictures of the system and to grip the information needs of the users when the system is developed. Qualitative evaluations, therefore, could be used as indicators for the evaluation of any information retrieval systems.

Development of an Informetric Analysis System KnowledgeMatrix (계량정보분석시스템 KnowledgeMatrix 개발)

  • Lee, Bangrae;Yeo, Woon Dong;Lee, June Young;Lee, Chang-Hoan;Kwon, Oh-Jin;Moon, Yeong-ho
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.167-171
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    • 2007
  • Application areas of Knowledge Discovery in Database (KDD) have been expanded into many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has recently fully utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not cheap, korean language process not available, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information (KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. Knowledge Matrix main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. KnowledgeMatrix show better performances and offer more various functions than extant systems.

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Study on the Proposal for Deposit Linkage Plan Based on the Survey of Online Material Identification System (온라인 자료 식별체계 실태조사를 기반으로 한 납본연계방안 제안 연구)

  • Younghee Noh;Aekyoung Son;Kyung Sun Lee;Inho Chang;Youngmi Jung;Hyunju Cha
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.133-162
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    • 2024
  • The rapid digitalization has highlighted the importance of identifying and managing online resources. Especially, the need for a systematic identification system for the efficient distribution and preservation of digital content is growing. This study aims to respond to these contemporary demands by investigating the current state of identification systems for online resources and exploring more systematic management and utilization methods through linking these systems with legal deposit. To achieve this, the study surveyed the identification systems and their issuance status for online resources and analyzed prior research related to these online resources. Based on the analysis, the proposed strategies for linking with legal deposit can be summarized into three categories: First, to prioritize and enhance the utilization of legal deposit, strategies are required to strengthen the mutual complementarity of deposit and use, to assign priorities to certain deposits, and to increase the usability of deposited materials. Second, as strategies based on international standard numbers for linking with legal deposit, it is necessary to integrate ISBN and UCI in the deposit process, to link international standard resource numbers with deposit, to interconnect metadata between international standard numbers and UCI, to integrate UCI and ICN, and to introduce automation technology for upgrading the deposit system. Third, to effectively implement the aforementioned strategies, policy support is essential. This includes enhancing the role of the Korean Bibliographic Standards Center, strengthening cooperation with publishers, compensating for deposited materials, and increasing awareness and institutional compensation for the legal deposit system.

Analysis of the Research Trends on Business Archives: Focusing on the Topic Modeling Analysis (기업 아카이브에 관한 연구 동향 분석: 토픽모델링 분석을 중심으로)

  • Kim, Hyosun
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.3
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    • pp.163-186
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    • 2021
  • The purpose of this study is to analyze research trends on overseas business archives, compare them with domestic and related prior studies, and present the direction of the development of domestic business archives research. For the research analysis, bibliography from 493 papers was collected using four academic databases: Web of Science, Scopus, LISA (ProQuest), LISS (EBSCOhost). Following data collection, data analysis was conducted and focused on the publication status of related papers, major journals, research forms, and researcher information. In addition, unique words were extracted through the data processing of English abstracts, and the frequency of the key words was identified. Through topic modeling, this study extracted seven topics from the entire literature group, analyzed the publication trends of the papers corresponding to each topic, and examined the topics and representative papers of that topic. The names for these topics were assigned as "access and usability of business records'," "information/evidence value of business records," "importance and operational strategy of business archives," "record management as a business heritage," "management of business records in digital environments," "preservation and disposal of business records," and "historical value of business records." Based on the prior research and analysis results, this study proposed implications for the development and expansion of future research on the domestic business archives.

Digital technique in diagnosis and restoration of maxillary anterior implant: a case report (디지털 기법을 활용한 상악 전치부의 진단 및 수복 증례)

  • Haemin, Bang;Woohyung, Jang;Chan, Park;Kwi-Dug, Yun;Hyun-Pil, Lim;Sangwon, Park
    • Journal of Dental Rehabilitation and Applied Science
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    • v.38 no.4
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    • pp.249-256
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    • 2022
  • The implant prosthesis of anterior maxilla requires careful consideration in planning. In order to satisfy both esthetic and functional needs of a patient, fusion of intra-oral scan in Cone-beam computed tomography (CBCT) and facial scan can be considered. Bony structures and soft tissues captured in CBCT and occlusal surfaces of intra oral scan were incorporated into personal characteristics from facial scan. The patient had insufficient buccal bone on maxillary anterior area. The maxillary implants could not be placed on the most ideal position. However, the "top down" approach completed by computer-generated arranging of teeth in implant planning and surgery with surgical guide resulted in esthetically and functionally satisfying result regardless of the limitation. Careful diagnosis with digital technique and the usage of surgical guide resulted in successful surgery and esthetic restoration. The temporary fixed prostheses were designed, restored and evaluated. The patient was not satisfied with the first design of temporary prosthesis, which showed uneven space distribution between teeth due to the position of maxillary implant. The design was modified by changing proximal emergence contours and line angle to alter the perceived since of incisors. The patient was satisfied with the new design of provisional restoration. A digital occlusion analyzer (Arcus Digma II, KaVo, Leutkirch, Germany) was used to measure inherent condylar guidance and anterior guidance of a patient to provide a definitive prosthesis.

A Study on the Visual Representation of TREC Text Documents in the Construction of Digital Library (디지털도서관 구축과정에서 TREC 텍스트 문서의 시각적 표현에 관한 연구)

  • Jeong, Ki-Tai;Park, Il-Jong
    • Journal of the Korean Society for information Management
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    • v.21 no.3
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    • pp.1-14
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    • 2004
  • Visualization of documents will help users when they do search similar documents. and all research in information retrieval addresses itself to the problem of a user with an information need facing a data source containing an acceptable solution to that need. In various contexts. adequate solutions to this problem have included alphabetized cubbyholes housing papyrus rolls. microfilm registers. card catalogs and inverted files coded onto discs. Many information retrieval systems rely on the use of a document surrogate. Though they might be surprise to discover it. nearly every information seeker uses an array of document surrogates. Summaries. tables of contents. abstracts. reviews, and MARC recordsthese are all document surrogates. That is, they stand infor a document allowing a user to make some decision regarding it. whether to retrieve a book from the stacks, whether to read an entire article, etc. In this paper another type of document surrogate is investigated using a grouping method of term list. lising Multidimensional Scaling Method (MDS) those surrogates are visualized on two-dimensional graph. The distances between dots on the two-dimensional graph can be represented as the similarity of the documents. More close the distance. more similar the documents.