• Title/Summary/Keyword: Korean WordNet

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An Efficient Technique for Image Tag Ranking using Semantic Relationship between Tags (태그간 의미관계를 이용한 효율적인 이미지 태그 랭킹 기법)

  • Hong, Hyun-Ki;Heu, Jee-Uk;Jeong, Jin-Woo;Lee, Dong-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.31-36
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    • 2010
  • 최근 대두되고 있는 웹2.0의 특징은 일반 사용자들이 능동적으로 정보를 생산해내고 공유하는데 있다. 웹 2.0의 참여형 아키텍쳐를 구성하는 핵심요소로 인식되고 있는 폭소노미(Folksonomy)는 과거 택소노미(Taxonomy)와 같이 전문가에 의하여 구축되는 분류 체계가 아닌 사용자들이 협동적으로 태그(Tag)들을 만들고 관리하는 소셜 태깅(Social Tagging)에 의한 분류 시스템이다. 최근 이러한 폭소노미를 활용하여 이미지를 공유하고 검색하고자 하는 다양한 시도들이 진행되고 있다. 그러나 Flickr와 같은 태그 기반 이미지 공유 시스템에서는 태그의 문법적, 의미적 모호성과 이미지에 대한 태그들의 중요성 또는 상관관계를 고려하지 않아 태그 기반 검색 시 정확성 및 신뢰성을 보장할 수 없다. 이러한 문제를 해결하기 위해 폭소노미에 기반한 이미지 공유 데이터베이스에서 적합한 태그들을 태그 전달(Tag Propagation)하거나 확률 및 출현빈도에 기반하여 태그 랭킹을 수행하기 위한 연구들이 활발히 진행되고 있지만 여전히 만족할만한 성능을 보이지 못하고 있다. 본 논문에서는 이미지 공유 데이터베이스에서 유사한 이미지들로부터 이미지에 보다 적합한 태그들을 부여하기 위해서, WordNet을 활용하여 태그들 간의 의미관계에 기반한 효율적인 태그 랭킹 기법을 제안한다. 또한, 신뢰성 있는 태그 기반 검색을 위하여 제안한 태그 랭킹 기법이 현재 이미지 공유 시스템의 랭킹 결과보다 정확성을 높일 수 있음을 실험 예제를 통하여 확인하였다.

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An Information Diffusion Model Considering Non-explicit Relationships in the Blog World (블로그 월드에서 비명시적 관계를 고려한 정보 파급 모델)

  • Kwon, Yong-Suk;Kim, Sang-Wook;Park, Sun-Ju;Lim, Seung-Hwan;Lee, Jae-Bum
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.5
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    • pp.360-364
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    • 2009
  • Analyzing information diffusion in a blog world is a very useful research issue, which can be used for predicting information diffusion, abnormally detection, marketing, and revitalizing the blog world. Existing studies on information diffusion in blog networks establish explicit relationship between blogs, and analyze only the word-of-mouth effect through such explicit relationships. However, we observed that more than 85% of all information diffusion in a blog world occurs through non-explicit relationships. In this paper, we propose a new model that considers both explicit and non-explicit relationships between blogs in order to explain all information diffusion phenomena in a blog world. We verify the superiority of our proposed models through extensive experiments of information diffusions at a real blog net-work.

Design and Implementation of Domain Ontology to Overcome Conceptual Heterogeneity in Annotation-based Image Retrieval (주석기반 이미지 검색에서 개념적 이질성 극복을 위한 도메인 온톨로지 설계 및 구현)

  • Kim Won-Pil;Kim Pan-Koo
    • Journal of Internet Computing and Services
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    • v.4 no.4
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    • pp.1-8
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    • 2003
  • As the multimedia information retrieval system is advanced, the study of multimedia information retrieval is changing the method of low-level content based image retrieval to the semantical concept based retrieval. in this paper, we apply the theory of ontology to overcome the conceptual heterogeneity in the annotation based image retrieval. And we solve the some problems that happen when the ontology apply. As a result of our study, we try to apply the domain ontology to settle the conceptual heterogenity. In the experimental result, we knew that the semantic distance among the words is pretty dose when we apply the domain ontology than the wordnet. And in this paper, we show the possibility of the semantic image retrieval as we apply the domain ontology in the annotation based image retrieval.

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A Study on the Consumer's Perception of HiSeoul Fashion Show Using Big Data Analysis (빅데이터 분석을 활용한 하이서울패션쇼에 대한 소비자 인식 조사)

  • Han, Ki Hyang
    • Journal of Fashion Business
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    • v.23 no.5
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    • pp.81-95
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    • 2019
  • The purpose of this study is to research consumers' perception of the HiSeoul fashion show, which is being used by new designers as a means of promotion, and to propose a strategy for revitalizing new designer brands. This was done in order to secure basic data from fashion consumers, to help guide marketing strategies and promote rising designers. In this research, the consumers' perception of HiSeoul fashion show was verified using text-mining, data refinement and word clouding that was undertaken by TEXTOM3.0. Also, semantic network analysis, CONCOR analysis and visualization of the analysis results were performed using Ucinet 6.0 and NetDraw. "HiSeoul fashion show" was used as the keyword for text-mining and data was collected from March 1, 2018 to April 30, 2019. Using frequency analysis, TF-IDF, and N-gram, it was also shown that consumers are aware of places where shows are held, such as DDP and Igansumun. It was also revealed that consumers recognize rising designer brands, designer's names, the names of guests attending the show and the photo times. This study is meaningful in that it not only confirmed consumers' interest in new designer brands participating in the HiSeoul Fashion Show through big data but also confirmed that it is available as a marketing strategy to boost brand sales. This study suggests using HiSeoul show room to induce consumer sales, or inviting guests that match the brand image to promote them on SNS on the day the show is held for a marketing strategy.

Exploring the Core Keywords of the Secondary School Home Economics Teacher Selection Test: A Mixed Method of Content and Text Network Analyses (중등학교 가정과교사 임용시험의 핵심 키워드 탐색: 내용 분석과 텍스트 네트워크 분석을 중심으로)

  • Mi Jeong, Park;Ju, Han
    • Human Ecology Research
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    • v.60 no.4
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    • pp.625-643
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    • 2022
  • The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

Establishment of the Korean Standard Vocal Sound into Character Conversion Rule (한국어 음가를 한글 표기로 변환하는 표준규칙 제정)

  • 이계영;임재걸
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.51-64
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    • 2004
  • The purpose of this paper is to establish the Standard Korean Vocal Sound into Character Conversion Rule (Standard VSCC Rule) by reversely applying the Korean Standard Pronunciation Rule that regulates the way of reading written Hangeul sentences. The Standard VSCC Rule performs a crucially important role in Korean speech recognition. The general method of speech recognition is to find the most similar pattern among the standard voice patterns to the input voice pattern. Each of the standard voice patterns is an average of several sample voice patterns. If the unit of the standard voice pattern is a word, then the number of entries of the standard voice pattern will be greater than a few millions (taking inflection and postpositional particles into account). This many entries require a huge database and an impractically too many comparisons in the process of finding the most similar pattern. Therefore, the unit of the standard voice pattern should be a syllable. In this case, we have to resolve the problem of the difference between the Korean vocal sounds and the writing characters. The process of converting a sequence of Korean vocal sounds into a sequence of characters requires our Standard VSCC Rule. Making use of our Standard VSCC Rule, we have implemented a Korean vocal sounds into Hangeul character conversion system. The Korean Standard Pronunciation Rule consists of 30 items. In order to show soundness and completeness of our Standard VSCC Rule, we have tested the conversion system with various data sets reflecting all the 30 items. The test results will be presented in this paper.

A Method of Analyzing Sentiment Polarity of Multilingual Social Media: A Case of Korean-Chinese Languages (다국어 소셜미디어에 대한 감성분석 방법 개발: 한국어-중국어를 중심으로)

  • Cui, Meina;Jin, Yoonsun;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.3
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    • pp.91-111
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    • 2016
  • It is crucial for the social media based marketing practices to perform sentiment analyze the unstructured data written by the potential consumers of their products and services. In particular, when it comes to the companies which are interested in global business, the companies must collect and analyze the data from the social media of multinational settings (e.g. Youtube, Instagram, etc.). In this case, since the texts are multilingual, they usually translate the sentences into a certain target language before conducting sentiment analysis. However, due to the lack of cultural differences and highly qualified data dictionary, translated sentences suffer from misunderstanding the true meaning. These result in decreasing the quality of sentiment analysis. Hence, this study aims to propose a method to perform a multilingual sentiment analysis, focusing on Korean-Chinese cases, while avoiding language translations. To show the feasibility of the idea proposed in this paper, we compare the performance of the proposed method with those of the legacy methods which adopt language translators. The results suggest that our method outperforms in terms of RMSE, and can be applied by the global business institutions.

Concept Analysis of Self-help Groups (자조그룹에 대한 개념 분석)

  • Lee, Eun Nam;Eom, Aeyong;Eun, Young;Cho, Kyung-Sook;Lee, Kyung-Sook;Song, Rhayun;Kim, Jong Im;Shin, Gyeyoung;Lim, Nan-Young;Lee, Myung Sook;Bak, Won-Sook;Oh, Doo Nam;Choi, Mi-Kyung;Choi, Hee Kwon
    • Journal of muscle and joint health
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    • v.21 no.1
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    • pp.1-10
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    • 2014
  • Purpose: The purpose of the study was to identify the attributes of self-help groups, their antecedents and consequences relating to self-help groups. Methods: We used the Walker and Avant (2010) method using the key word "self-help groups" the Korea Education and Research Information Service (www.riss4u.net), Pubmed, CINAHL and ProQuest for articles on this topic published between January 2000 and March 2013 were searched. Ultimately, 64 domestic and 21 foreign papers were selected for in-depth analysis. Results: The attributes of self-help groups are as follows: 1) members share common experiences and are supportive of each other; 2) members set goals for individual change; 3) groups are self-monitoring; 4) groups learn problem-solving processes through voluntary and active participation; and 5) groups are small and meet regularly. The antecedents of self-help groups are as follows: 1) an intervention by an expert; 2) a diagnosis of their illness; 3) motivation to change individuals' state; and 4) educational desire. The consequences of self-help groups are the relief of symptoms, the improvement of physiological parameters and quality of life, the decrease in depression, stress, and anxiety, the improvement of illness-related knowledge and self-help activity, and a change in beliefs. Conclusion: Self-help groups can be used as an intervention strategy to help people with chronic illness manage their own problems.

An Anaysis on the Change of Fertility Rates According to Various Fertility Indices in Korea (우리나라의 각종 출산력지표에 의한 출산력 추이에 관한 분석)

  • 이준협
    • Korea journal of population studies
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    • v.9 no.2
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    • pp.67-78
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    • 1986
  • With Economic Development Plan, the Korean National Family Plan Program was introduced in early 1960's. The program, which has been a way for constraining population increase, has obtained excellent results. In other word, it has had an important role in controlling the increase in population. The purpose of this study is to analyze the change of fertility rates since 1970 and the lever of completed fertility of Korean women since 1960. There are Age-specific Fertility Rate(ASFR), Total Fertility Rate(TFR), Gross Reproduction Rate(GRR) and Net Reproduction Rate(NRR) etc. in indices of period fertility. It is also possible to be seen the completed fertility rates by using Parity Progression Ratio. The data necessary for this study were obtained from Population & Housing Census Report from the year of 1960 to 1980 and Vital Statistics from 1980 to 1984, which conducted by Economic Planning Board, Republic of Korea. The summarized results of this study were as follows : 1. Age-specific Fertility Fertility Rate(ASFR) has been continuously decreasing till now. The ASFR for the women aged 25 to 29 was higher than those of any other groups and the ASFR for the women aged 20 to 24 was higher than that of the women aged 30 to 34 since the mid 1970's. 2. There are Total Fertility Rate(TFR), Gross Reproduction Rate(GRR) and Ney Reproduction Rate(NRR) etc. in reproduction rates. First of all, TFR and GRR have been declining except late of 1970's and TFR showed 2.23 per ever-married women, GRR was 1.05 in 1982. Next, the change of NRR could not be found without life table by year and only NRR for the time of census was to be found. In 1980, NRR showed 1.27 per ever-married women and the level was still out of reach at replacement level of population. 3. Specific Fertility Rate by Birth Order(SFRBO) showed to be declined continually since 1972. Especially the SFRBO of the third live birth was decreased from about 22 per 1,000 ever-married women in 1972 to 12 or so in 1982. 4. To know the level of completed fertility, the mean number of completed live births per ever-married women was calculated from 1960 to 1980. The number of completed live births was more than 5 per ever-married women by the year of 1975 but have been declining and resulted in 4.69 in 1980.

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Analysis on Trends in Plogging Culture and Professional Sports Using BIG KINDS Analysis (빅카인즈 분석을 활용한 플로깅 문화와 프로스포츠 분야의 동향 분석)

  • Gyu-Min, Na;Kyung-A, Oh
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.5
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    • pp.1072-1080
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    • 2023
  • The purpose of this study is to analyze major keywords and social phenomena related to 'plogging' in the sports field and to derive important information. In order to achieve this purpose, the news analysis system BIG Kinds provided by the Korea Press Promotion Foundation was used to analyze it. The analysis period is from 2018 to 2022, and 42 of the 5,148 news collected were finally used and analyzed. Frequency analysis, relationship map analysis, and related word analysis were performed as analysis methods, and the results are as follows. First, as a result of the frequency analysis related to 'Plogging' in the sports field, keywords such as 'Jeju', 'Players', 'World Marathon', 'SSG', and 'Lee Bong-ju' were identified. Second, as a result of the analysis of the relationship related to 'Plogging' in the sports field, keywords such as 'COVID-19', 'national representative', 'elite', 'masters', and 'COVID' were identified. Third, as a result of the analysis of words related to 'Plogging' in the sports field, keywords such as 'synthesized words', 'volunteer activities,' 'masters untact', 'Jeju', and 'athletes' were identified. In the domestic professional sports field, it has been shown that plogging is actively used for environmental activities and professional team promotion to practice carbon neutrality by international sports organizations.