• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.111-129
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• 2009

This study examined the usability of text-based search and visual search of a large multidisciplinary library database to provide an empirical analysis of the acceptability of visual systems in the information retrieval environment. It also examined if there are differences in the usability assessment based on experimental order. The results indicated that the text-based search supported users' search behaviors more efficiently than the visual search. Also the text-based search was rated higher than the visual search in terms of user perceptions of four usability factors.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.727-731
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• 2010

Recently, mobile life-log data are collected by mobile devices and used to recode one's life. In order to help a user search data, a mobile life-log semantic network is introduced for storing logs and retrieving associative information. However, associative search systems on common semantic networks in previous studies provide for a user with only found data as text to users. This paper proposes an associative search system for mobile life-log semantic network that supports selection and keyword associative search of which a process and result are a visualized graph representing associative data and their relationships when a user inputs a keyword for search. In addition, by using semantic abstraction, the system improves user's understanding of search result and simplifies the resulting graph. The system's usability was tested by an experiment comparing the system and a text-based search system.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.637-639
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• 2002

XML 문서를 효과적으로 관리하고 검색하기 위한 다양한 XML 질의 언어에 대한 연구가 활발히 수행되고 있지만 다양한 XML 질의 언어의 구문은 일반 사용자들이 숙지하는데 어려움이 있고, 또한 텍스트 형태의 XML 문서는 계층적인 구조로 되어있어 이러한 XML 문서의 구조를 알아야만 질의를 할 수 있다는 문제점이 있다. 따라서 본 논문에서는 복잡한 XML 질의어 구문과 질의 대상인 XML 문서의 구조를 동시에 시각화하고, 사용자와의 상호작용을 통해 질의문을 자동으로 생성하고자 한다. 이를 위해 본 논문에서는 다음과 같이 세 가지 컴포넌트를 기반으로 자동 질의어 생성을 위한 visual query interface를 제안하였다. 이 컴포넌트는 계층적 XML 문서 구조를 보여주는 XML structure viewer, 질의에 사용되는 연산자들을 아이콘화한 operator panel, 그리고 이 두 컴포넌트의 상호작용으로 작성된 질의 구문을 문법적으로 검사하기 위한 query statements panel로 구성된다. 이를 통해 다양한 계층적인 XML 문서의 구조와 복잡한 XML 질의 언어의 구문에 대해서 잘 모르는 초보자라 하더라도 쉽게 XML 문서 상에서 질의를 할 수 있다.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.135-146
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• 2019

Big data analysis is actively used for collecting and analyzing direct information on related topics in each field of society. Applying big data analysis technology in education field is increasingly interested in Korea, because applying this technology helps to identify the effectiveness of education methods and policies and applying them for policy formulation. In this paper, we propose our approach of utilizing big data analysis technology in education field. We focus on free semester program, one of the current core education policies, and we analyze the main points of interests and differences in the free semester through analysis and visualization of texts that are written on the operation reports prepared by each school. We compare regional differences in key characteristics and interests based on the free semester operation reports from middle schools particularly at Seoul and Gangwon-do regions. In conclusion, applying and utilizing big data analysis technology according to the needs and requirements of education field is a great significance.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.149-154
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• 2014

Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.97-107
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• 2020

This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.167-180
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• 2019

The purpose of this study is to find out the results of synesthesia speech training using similar language for shaping audiobook text. The audiobook text for training uses Tolstoy's work, and uses similar language of tone, tone, pose, speed, intonation, accent, and expression of emotions. The participants who ten visually impaired trainee in H library were selected for qualitative research. Based on the research questions raised in this study, the results are as follows. First, synesthesia training, in which more than two senses of the five senses work simultaneously in voice training for audio book text shaping, produced the result by visualizing the original purpose, meaning, and background of the text. Second, the use of similar language was helpful in the whole process of expressing the meaning of sentence and dialogue for audiobook text shaping. In addition, although there were some differences among the study subjects, they found commonalities that considered tone, pose, and intonation important. Third, the visually impaired have advanced sensory aspects and memory, which resulted in rapid acquisition of metabolism and acceptance of transmission during training. In addition, the teacher's friendly behavior was a very important key mediator in the training process.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.242-244
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• 2015

정보통신기술이 발전함에 따라 인터넷 뉴스 기사의 수와 구독률이 지속적으로 상승하고 있다. 하지만 주로 텍스트로 구성된 인터넷 기사를 통해 전체적인 이슈의 현황을 파악하는 데는 한계가 있다. 이에 본 논문에서는 분산 시스템 환경 내에서 기계 학습을 통하여 대량의 뉴스를 분석하고, 주요 이슈와 이슈간의 연관성을 추출하여 시각화하는 시스템 설계에 대해 제안하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1172-1177
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• 2000

본 논문은 SMIL의 작성 시에 편리함을 제공하기 위한 시각적 편집 도구를 제안한다. SMIL은 서로 다른 미디어간의 동기화를 가능하게 하는 스크립트 언어이다. SMIL은 텍스트 편집기를 통하여 작성되는데 이는 작성에 있어 직관적인 면이 없어 많은 불편함을 갖는다. 따라서 시각적 편집 도구가 필요하며 이를 구현하기 위해 본 논문에서는 SMIL의 작성을 프리젠테이션과 하이퍼 프리젠테이션의 두 측면에서 설계하였으며 시각적 편집 도구 구현에는 멀티미디어 아이콘 프로그램 도구인 VIP를 확장하여 완성하는 방법을 택하였다. VIP를 확장함으로써 SMIL 번역이라는 기본 목적 외에 부가적으로 MuX의 공간적 동기화에 관련된 기능의 한계를 극복할 수 있게 된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.261-262
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• 2023

본 연구에서는 감성 분석 기반의 키워드 도출형 영화 리뷰 웹사이트를 개발하였다. 사용자들은 영화에 대한 리뷰를 작성할 때, 자동으로 키워드를 추출하는 기능을 활용하여 다양하면서도 빠르게 정보를 얻을 수 있다. 사용자가 작성한 리뷰를 시스템에 입력하면, 내부적으로 ChatGPT를 활용하여 텍스트를 분석하고 키워드를 추출한다. 이를 통해 사용자는 별다른 노력 없이도 키워드를 통해 영화의 장르, 감독, 배우, 플롯 요소 등 다양한 정보를 빠르게 확인할 수 있다. 추출된 키워드는 저장되어 시각화에 활용되며, 사용자들은 리뷰에 대한 원하는 정보를 쉽게 얻을 수 있다. 개발된 키워드 도출형 영화 리뷰 웹사이트는 사용자들에게 빠르고 다양한 정보를 제공하며, 영화 관련 결정을 내리는 데에 도움을 줄 것으로 기대된다.