• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.161-179
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• 2007

As increasingly diverse kinds of information materials are available on the Internet, it becomes a challenge to define an adequate level of metadata provision for each different type of material in the context of digital libraries. This study explores issues of metadata provision for a particular type of material, statistical tables. Statistical data always involves numbers and numeric values which should be interpreted with an understanding of underlying concepts and constructs. Because of the unique data characteristics, metadata in the statistical domain is essential not only for finding and discovering relevant data, but also for understanding and using the data found. However, in statistical metadata research, more emphasis has been put on the question of what metadata is necessary for processing the data and less on what metadata should be presented to users. In this study, a case study was conducted to gauge the status of metadata provision for statistical tables on the Internet. The websites of two federal statistical agencies in the United States were selected and a content analysis method was used for that purpose. The result showing insufficient and inconsistent provision of metadata demonstrate the need for more discussions on statistical metadata from the ordinary web users' perspective.

• Journal of KIISE
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• v.42 no.3
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• pp.413-418
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• 2015

In this paper, we design new video metadata schema for searching video segments to create UEC (User Edited Contents). The proposed video metadata schema employs hierarchically structured units of 'Title-Event-Place(Scene)-Shot', and defines the fields of the semantic information as structured form in each segment unit. Since this video metadata schema is defined by analyzing the structure of existing UECs and by experimenting the tagging and searching the video segment units for creating the UECs, it helps the users to search useful video segments for UEC easily than MPEG-7 MDS (Multimedia Description Scheme) which is a general purpose international standard for video metadata schema.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.215-228
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• 2009

UCI(Universal Content Identifier), a digital content identifier is a identification system based on URN(Uniform Resource Name) for the transparent distribution, efficient search and management of digital contents. Digital contents given a UCI number need metadata for serving a exact contents that users need. However, the only metadata provided by UCI are deficient to represent various information of digital contents, and ontologies which could standardize and define explicitly semantic relations between metadata (provided by UCI) are needed for better representation of information and efficient search and management of digital contents. In this paper, we extended concept-relation between metadata with ontology and designed domain ontology enabling semantic-based search by expanding UCI meta data, and showed the more efficient search and management over the metadata by UCI through various queries.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.159-202
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• 2022

The 'National Research Data Platform' and the 'Bio Research Data Platform' were recently built and each is actively creating an ecosystem. It is built independently based on other metadata standards, which may cause future interoperability issues. The purpose of this study is to propose a basis for metadata interoperability between the two platforms. To this end, the metadata standards of each platform were analyzed, crosswork targets were selected and mapped, and the suitability of the mapped elements was verified through experts in the bio field. And more appropriate mapping elements were recommended to derive metadata elements for datasets and files. Through this, it was possible to confirm the possibility that the metadata of each platform could be semantically linked and the basis for securing interoperability.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.44-48
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• 2016

오늘날 폰트를 디자인하는데 주로 사용되는 외곽선 방식은 글자의 크기를 손쉽게 변경할 수 있으나 글자의 굵기나 스타일을 변화시키려면 다시 수작업을 통해서 디자인을 변경해야 한다. 이를 보완하기 위한 프로그래머블 폰트인 메타폰트는 매개변수를 사용하여 글자의 변화가 매우 용이하다. 하지만 메타폰트는 프로그래밍 언어이므로 메타폰트에 대한 선행학습이 필요하여 폰트 디자이너에게 사용되지 않았다. 따라서 본 논문에서는 폰트 디자이너에게 익숙한 외곽선 방식에 편집기를 제공하면서 글자의 스타일에 대한 변화를 메타폰트에서 처리하여 다양한 폰트를 파생할 수 있는 한글 외곽선 폰트 시스템을 제안한다. 이를 위하여 본 시스템에서는 외곽선 방식의 폰트를 제작할 수 있도록 하는 웹 외곽선 폰트 편집기를 구현하였으며 외곽선 방식의 폰트를 메타폰트로 변환하는 UFO2mf를 구현하였다. 본 논문에서 제안하는 폰트 시스템은 기존 외곽선 방식의 스타일 변화에 대한 수고를 덜어줄 수 있을 것으로 기대한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.387-390
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• 2009

최근 한국정보통신기술협회(TTA)에서는 지상파 DMB(Digital Multimedia Broadcasting) ECG(Electronic Content Guide) XML(eXtensible Markup Language) 표준의 제정 및 개정 작업을 완료하였다. 지상파 DMB ECG XML 표준은 종래의 DMB EPG(Electronic Program Guide) 표준에서 제공되었던 서비스를 기능적으로 수용하면서 프로그램내의 특정 세그먼트 단위까지 검색 및 브라우징을 통하여 원하는 콘텐트를 보다 효율적으로 접근, 소비 및 저장이 가능하도록 하는 향상된 서비스를 제공하도록 정의하였다. 또한, 단일 포맷에서 모든 DMB 콘텐트 내용들을 결합하는 DMB AF(ISO/IEC 23000-9:2008; DMB Application Format) 파일 포맷을 포함하고 있다. 한국전자통신연구원에서는 이러한 지상파 DMB ECG XML 표준 및 서비스의 유효성 검증을 위해 메타데이터의 저작 단계에서 전송 및 단말에 이르는 맞춤시청형 방송 시스템을 개발하였다. 이러한 일련의 과정에서 DMB ECG 메타데이터는 맞춤시청형 서비스 제공을 위해 전달되는 핵심 요소로써, 디지털방송 콘텐트에 대한 상세 정보의 기술을 위해 새로운 메타데이터를 생성하거나 기존에 생성된 메타데이터를 재편집하는 과정을 효과적으로 수행하기 위한 메타데이터 저작도구가 필수적으로 필요하다. 본 논문은 사용자 친화적인 DMB ECG 메타데이터 및 DMB AF 저작도구의 개발에 대해 기술한다.

• Journal of Korean Library and Information Science Society
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• v.36 no.3
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• pp.109-136
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• 2005

This paper describes the major components of ISO/IEC 11179 metadata registry (MDR) standard designed to promote data interoperability between systems, explains and discusses semantic web technology and Web ontology languages initiated by W3C that can be employed to further enhance data interoperability, and finally proposes a framework for a new RDF/OWL-based MDR to convert from the current human-readable MDR to machine-readable MDR. If the new MDR is successful, we might be able to offer a better customized information service to users. The future research will be concerned with evaluating objectively the effectiveness of machine-readable MDR in meeting the needs of real users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.165-166
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• 2013

The principle of human perception, behavior, and thought is presented in the traditional interface design study that is ease to use and increase the learn-ability. We believe that the usability is related to user's affection. The goal of this paper is to investigate how visual metaphor works in usability and affection in interface to analyse the effect of visual metaphor to user affection. Literature reviews for the concept of metaphor and affection design conducted. We analyse the effect to user's affection through think-aloud i.e. protocol analysis for metaphor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.253-258
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• 2021

With the 4th Industrial Revolution and the development of technology, markets of the VR&AR have increased. Also due to COVID-19 pandemic, demands for a digital environment were required because of physical space constraints. Firms are trying to solve this problem by using Metaverse platforms. However, with markets such as Metaverse, VR, AR, and Digital Twins are expanding, prior research on Metaverse definition or classification system is insufficient. Based on understanding VR&AR, Digital Twin, this study established a Industry-Service classification for Metaverse by defining Case studies on Metaverse and through prior research. And by Industry-Service classification for Metaverse this paper propose Metaverse Industry-Service Matrix to analyze the trend and possibility of Metaverse Platform

• 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.