• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.8
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• pp.1297-1306
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• 1997

The purpose of this study was to investigate the difference of visual evaluation about combination of contrary clothing image, Elegance-Casual, Ethnic-Modern. The data were collected using 23 semantic differential hi-polar scale questionnaires from 50 female students majoring in clothing and textile and analyzed by Factor analysis, ANOVA, Discriminant analysis and MDS. The results obtained were summarized as follows; 1. As a result of factor analysis, 4 factors -Attractiveness, Casualness, Moderateness, Modernness-were found out as constructing factors of contrary clothing image. 2. For the visual evaluation of contrary clothing image combined with top and bottom, there were significant differences in all factors. 3. As a result of discriminant analysis, discrimination among images was more closely related to renovated image by combination of contrary clothing image. 4. As a result of MDS, evaluative dimensions of contrary clothing image were identified, and relationship between clothing images and special qualities of design was shown on positioning map.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.34-39
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• 2002

This paper proposed a kind of software component specification method based on XML. We define a document type definition(DTD) of software component specification for the XML representation of a component. The semantic relationship of the component elements in diagrams of component specification must be Presented by the XML tag. This paper also designs the supporting tool for the representation of the software component specification.

• Speech Sciences
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• v.8 no.4
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• pp.275-288
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• 2001

The sentences with the same surface word order may be realized with the pragmatically different meanings, depending on the contexts under which they could appear. Semantically, their meaning differences have been explained in terms of the different information structures (Steedman 2000), whereas prosodically, they can be explained in terms of the different compositions of intonational components which make their own semantic contributions (Pierrehumbert and Hirschberg 1990). In other words, the different intonation realizations of the sentences with the same word order reflect the different information structures. In this paper, we investigate the relationship between the information structure and the intonational meaning by way of analysing the production of the sentences with ambiguous scopes of the English focus particle 'only'. In contrast to the previous quantitative approaches to the scopes of the focus particle 'only', two independent levels of information structure (Steedman 2000)-theme/rheme, and focus/ background-make it possible to consistently explain the intonational phenomena.

• Korean Journal of Child Studies
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• v.26 no.4
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• pp.279-279
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• 2005

The purpose of this study was to clarify how adolescent recognize their father according to the father demographic characteristics. The analysis was performed for 400 students in Seoul on the basis of two measuring tools that were adolescent's father image criterion developed from Seon hwa Cho, Myung seon Choi(2004) and semantic analysis criterion from Osgood(l957). Father image were inclined to friend when their father was younger. Adolescent were recognizing their father as a friend, advisor, and able man when their father had high level profession. On the other hand they felt father as a difficult being to make intimate relationship when their father had management occupations. Christian and Buddhist fathers were recognized as a advisor. Catholic and Christian father were showing less tired aspect rather than Buddhist and atheism father. Catholic and Buddhist fathers were recognized more active person. Adolescent were recognized their father as a friend, advisor, and able man when their father were high educated person.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.5
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• pp.533-544
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• 2003

The purpose of this study was to provide practical information to design woolen fabrics in terms of structural and surface characteristics, which produce texture images of fabrics. The relationship among structural, surface characteristics and texture images, and preference and purchase intention were analyzed. To evaluate the texture images of the fabrics subjectively, 7 rank＇s semantic differential scale questionnaires were developed with thirty adjective pairs. Blind and non-blind test were performed with 320 female subjects who were in their 20-30＇s. Commercially available 48 woolen fabrics were used as specimens. Results showed that five factors were obtained: classic, elegance, warmth, natural and casual. These factors were closely related to fiber type, weave type, fabric counts, and finishes.

• Journal of Korean language education
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• v.23 no.1
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• pp.161-182
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• 2012

The purpose of this study is to examine level of individual foreign learners' quantitative knowledge of korean vocabulary through the Foreign Learners' Korean Vocabulary Knowledge Assessment and to propose a vocabulary education plan reflecting the result. This assessment was written in focus of semantic relation to identify category, integrated and analytical knowledge of Korean verbs acquired by foreign learners and as a result, the following educational implications were made. First, the learners' knowledge about the vocabulary combinational relationship was very limited. Second, learners are not interested in vocabulary's synonymous relation and antonymous relations. Lastly, there needs to be a concern about postpositional particle-use education. The results of these kinds of research, observes the learners vocabulary acquisition process to determine Korean textbook and present vocabulary level in appropriate in terms of learners' perspective, and provide an opportunity to check if current professors' method is adequate and valid.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.250-259
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• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• Asia Marketing Journal
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• v.22 no.4
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• pp.151-170
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• 2021

This case study research analyzes the cross-artistic project Connect, BTS and its relationship to transmedia branding, meaning-making and spatiality. After an overview of the argument and a section on methodology, the reader will find the analysis of the case study. Thanks to the use of a qualitative approach, this examination of Connect, BTS unveils the ways in which this initiative becomes a location that allows a reconceptualization of space that fosters plurality, exchange, and subjectivity. Connect, BTS unites seemingly incompatible fields under one project, favoring the co-creation of meanings among different artists, BTS, ARMY (the group's fans), business partners and viewers. This process has been investigated through content analysis, exploring Connect, BTS's transmedia strategies from branding to storytelling, to evaluate their efficacy in regard to brand identity, brand experience, and brand trust. The paper will also explore the variety of layers and spatial dimensions contained in Connect, BTS, which flow from art to the music industry, material and digital space, various market sectors and media. In light of this, Connect, BTS embraces a galaxy of separate semantic units into an extended liminal continuum that does not discount difference.

• Annual Conference of KIPS
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• 2010.11a
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• pp.122-125
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• 2010

최근, 소셜 미디어 공유 시스템의 사용자-참여형 아키텍쳐를 구성하는 핵심요소인 폭소노미에 기반하여 이미지를 공유하고 검색하고자 하는 다양한 시도들이 진행되고 있다. 그러나 폭소노미에 기반한 현재의 이미지 공유 시스템에서는 태그의 문법적, 의미적 모호성과 이미지에 대한 태그들의 중요성 또는 상관관계를 고려하지 않아 태그 기반 이미지 검색시 정확성 및 신뢰성을 보장할 수 없다. 이러한 문제를 해결하기 위해, 본 논문에서는 태그간 의미관계를 이용한 이미지 태그 랭킹 기법을 활용하여 태그들을 이미지와의 관련정도에 따라 정렬하여 할당한 후, 이미지의 태그 순위를 고려하여 이미지와 질의어와의 관련성에 따라 효율적으로 이미지를 검색하기 위한 기법을 제안한다. 또한, 제안한 기법이 기존의 이미지 공유 시스템의 검색 결과보다 정확성을 높일 수 있음을 실험 예제를 통하여 확인하였다.

• Journal of Information Science Theory and Practice
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• v.12 no.3
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• pp.63-74
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• 2024

This study aimed to develop a digital thesaurus dedicated to cataloging the traditional common culture of the Greater Mekong Subregion. The process followed a meticulous seven-step methodology, including scoping, vocabulary collection, knowledge structure analysis, relationship delineation, related word adjustments, list validation, and evaluation. Leveraging principles from knowledge organization, thesaurus construction, and digital platform development, the TemaTres web application emerged as the primary tool for constructing this thesaurus. The study's results showed that 2,042 principal words related to the traditional common culture of the Greater Mekong Subregion were compiled and classified into terms for each of the seven deep levels. Each term was accompanied by essential metadata, including broader and narrower terms, related terms, cross-references, and scope notes. This rich dataset empowered semantic search capabilities across diverse applications and web services, providing access to knowledge pertaining to the traditional common culture of the Greater Mekong Subregion and contributing to a deeper understanding of this cultural domain.