• Information Systems Review
• /
• v.18 no.1
• /
• pp.141-155
• /
• 2016

This study identified terminologies related to the proximity and frequency of disaster by social network analysis (SNA) and text mining, and then expressed the outcome into a mind map. The termdocument matrix of text mining was utilized for the terminology proximity analysis, and the SNA closeness centrality was calculated to organically express the relationship of the terminologies through a mind map. By analyzing terminology proximity and selecting disaster response-related terminologies, this study identified the closest field among all the disaster response fields to disaster response and the core terms in each disaster response field. This disaster response terminology analysis could be utilized in future core term-based terminology standardization, disaster-related knowledge accumulation and research, and application of various response scenario compositions, among others.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.30 no.2
• /
• pp.189-209
• /
• 2019

Main Path Analysis (MPA) is one of the text mining techniques that extracts the core literature that contributes knowledge transfer based on citation information in the literature. This study applied various text mining techniques to abstract of the paper related with sense-of-place, which is published at Korea and abroad from 1990 to 2018 so that could discuss in a macro perspective. The main path analysis results showed that from 1990, overseas research on sense-of-place has been carried out in the order of personal identity, public land management, environmental education and urban development-related areas. Also, by using the network analysis, this study found that sense-of-place was discussed at various levels in Korea, including urban development, culture, literature, and history. On the other hand, it has been found that there are few topic changes in international studies, and that discussions on health, identity, landscape and urban development have been going on steadily since the 1990s. This study has implications that it presents a new perspective of grasping the overall flow of relevant research.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04b
• /
• pp.316-318
• /
• 2001

링크 기반 검색엔진은 사용자의 질의어와 관련된 웹문서들에 대해 링크 정보를 이용하여 순위를 생성한다. 링크 정보는 문서들간의 추천을 나타내므로 중요한 문서를 찾는데 이용할 수 있다. 링크 정보를 이용한 검색은 일반적인 텍스트 기반 검색엔진에 비해 좋은 결과를 낸다고 알려져 있다. 링크 정보를 이용한 검색엔진의 대표적인 예로는 Google과 Clever Search가 있다. 본 논문에서는 링크 정보를 이용한 검색엔진을 개발하고 퍼지 개념 네트워크를 이용하여 개인화를 수행한다. 퍼지 개념 네트워크는 퍼지 문서 추 2654; 시스템을 위한 지식베이스로 이용된다. 사용자 프로파일을 이용하여 사용자별로 퍼지 개념 네트워크를 생성하고 링크 기반 검색 결과를 개인화한다. 3명의 사용자에 대해 실험을 수행하여, 개인화가 주는 효과에 대해 평가한다. 검색결과는 중요한 웹 문서를 찾아 주었으며, 개인화 과정을 통해 사용자가 원하는 순서대로 정렬해 주는 것을 알 수 있었다.다.

• 한국디지털정책학회:학술대회논문집
• /
• 2005.11a
• /
• pp.243-249
• /
• 2005

정보화가 발달할수록 데이터량은 증가한다. 21세기 정보화 시대가 말그대로 정보의 홍수속에 살게 될 것이다. 지금은 영상미디어 시대이다. 초고속인터넷시대는 향후 처리해야 할 정보가 단순 텍스트 데이터가 아니라 정보의 관리에 어려움을 가져왔다. 또한 인터넷이란 새로운 실시간 데이터 관리가 필요한 상황에서 고객의 어려움도 커져가고 있다. SAN(Storage Area Network)과 NAS(Network Attached Storage)는 가상화스토리지 전문기업 뿐만 아니라 이종 업체에서의 제안이다. 즉 NAS를 정의하는 방향도 다르다. 우선 서버 어플라이언스로 보는 업체로는 컴팩, IBM의 x시리즈, 마이크로테스트, 액시스 등이 있으며, IBM, 씬, EMC, 네트워크 어플리이언스, 히타치데이터시스템 등 전통적인 가상화스토리지 업체는 이를 가상화스토리지 네트워크의 한 아키텍처로 보고 있다. 이외에 맥스터, 퀸텀 등의 HDD업체들은 이를 네트워크에 연결할 수 있는 하드디스크로 보고 있다. 또한 네트워크 장비 업체인 3Com, 넷기어 등의 NAS제품을 보이는데 국내업체는 전무한 편이다. 예전에 우리가 포기한 고부가가 가치제품인 서버 스토리지 분야를 놓치면, 결코 국민소득 $2{\sim}3$만불 타령을 해야 아무런 소용도 없고 선진국에 기술 종속만 될 뿐이다. 그러므로 우리가 IT강국이라고 하는 데는 반성을 하여야 한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2010.06b
• /
• pp.222-226
• /
• 2010

최근 모바일 기기가 보급됨에 따라 모바일 기기를 활용한 상황 공유 시스템에 대한 관심이 커지고 있다. 상황공유를 다룬 기존 연구들은 대부분 위치를 비롯한 저수준 상황만을 공유하며 고수준 상황인 행동과 감정 공유를 효율적으로 지원하지 않고 있으며 개인정보보호 단계를 수동으로 설정해주어야하는 단점이 있다. 본 논문에서는 모바일 기기의 센서들로부터 수집되는 저수준 상황과 행동, 감정 등의 고수준 상황을 함께 수집하였으며 베이지안 네트워크를 이용하여 설계한 소셜 네트워크를 기반으로 행동, 감정, 그리고 관계를 효과적으로 보여주도록 하였다. 또한 관계정보를 바탕으로 개인정보보호 단계를 자동으로 설정해주어 친밀한 사용자에게만 자신의 상황을 공유할 수 있는 상황 공유 시스템을 설계 구축하였다. 실험에서는 실제로 구성된 모바일 소셜 네트워크에서의 관계를 바탕으로 상황 정보를 공유하는 폰북과 맵브라우저로 구성된 컨텍스트뷰어 어플리케이션을 통해 제안하는 시스템의 유용성을 보였다.

• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.11
• /
• pp.521-526
• /
• 2017

Data format of Big data is diverse and vast, and its generation speed is very fast, requiring new management and analysis methods, not traditional data processing methods. Textual mining techniques can be used to extract useful information from unstructured text written in human language in online documents on social networks. Identifying trends in the message of politics, economy, and culture left behind in social media is a factor in understanding what topics they are interested in. In this study, text mining was performed on online news related to a given keyword using topic - oriented analysis technique. We use Latent Dirichiet Allocation (LDA) to extract information from web documents and analyze which subjects are interested in a given keyword, and which topics are related to which core values are related.

• Fashion & Textile Research Journal
• /
• v.22 no.2
• /
• pp.181-191
• /
• 2020

The fashion industry has faced environmental, social, and ethical issues due to increased interest in ethical consumption. Numerous ethical studies have been conducted in the fashion industry. This study looked at the current state of research by year, academic journal, and detail in major related papers published in Scopus, KCI and KCI between 2009 and 2019. Ethical fashion studies began to appear in 2009 and were concentrated in certain academic journals and focused on fashion marketing and fashion design. Topics in ethical fashion were terms such as sustainable, eco-friendly, up-cycling, recycling, eco, zero-waist, and organic. In ethical fashion studies, environmental studies were conducted most often; in addition, the terms used along with ethical fashion tend to be frequently used for each particular major. Looking at key words used in research by period, the study showed that research was most diverse between 2016 and 2019. In particular, environmental and social issues of ethical fashion and convergence with animal protection, new distribution, science and technology sectors were newly added between 2016 and 2019. This study used text mining and network analysis to understand the overall trends of ethical fashion studies in Korea. In conclusion it is important to realize the relationship between the main words along with the current status analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.93-96
• /
• 2018

Big datatics technology that can store and analyze data and obtain new knowledge has been adjusted for importance in many fields of the society. Big data is emerging as an important problem in the field of information and communication technology, but the mind of continuous technology is rising. R, a tool that can analyze big data, is a language and environment that enables information analysis of statistical bases. In this thesis, we use this to analyze the Bible data. R is used to investigate the frequency of what text is distributed and analyze the Bible through analysis of social network.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.4
• /
• pp.457-468
• /
• 2022

With the rapid growth of the webtoon industry, a new model for webtoon applications has emerged. We have entered the era of webtoon application version 3.0 after ver 1.0 and ver 2.0. Despite these changes, research on user review analysis for webtoon applications is still insufficient. Therefore, this study aims to analyze user reviews for 'Kakao Webtoon (Daum Webtoon)' that presented the webtoon application 3.0 model. For analysis, 20,382 application reviews were collected and pre-processed, and TF-IDF, network analysis, topic modeling, and emotional analysis were conducted for each version. As a result, the user experience of the webtoon application for each version was analyzed and usability testing conducted.

• Journal of Korean Library and Information Science Society
• /
• v.50 no.4
• /
• pp.77-100
• /
• 2019

This study aims to analyze and compare centrality and brokerage measures of journal citation network focusing on textmining research. The analytic sample was 193 academic articles collected from 136 KCI journals published in 2018. The journal citation network was constructed based on citation relations. The characteristics, centralities, and brokerages of network was analyzed. The journal citation network consisted 136 nodes and 413 links with directed and weight. According to the five types of centrality(out-degree, in-degree, out-closeness, in-closeness, betweenness), journals of social sciences, engineering, and interdisciplinary research showed higher centrality. Social sciences, engineering and interdisciplinary research journals also showed higher brokerages as a result of brokerage analysis which identify five types of brokerage roles(coordinator, gatekeeper, representative, consultant, liaison). The centralities and brokerages of journals are positively correlated. This study suggested how to construct journal citation network from the articles focusing on certain topics. This was meaningful study in terms of conducting brokerage analysis and comparing it with centrality in the journal citation network.