• Journal of Information Technology Applications and Management
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• 제13권4호
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• pp.167-180
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• 2006

Websites in the Internet are uncontrollable domain and various contents in websites lead people's activities and thoughts and new business paradigms for the future. These phenomena are from expanding the social network based on the endless growth of information technology. Websites are composed with many of links and communicating and expanding their virtual area by links, inbound, outbound, onsite, and of offsite links. Research and practice in digital information on the web have focused on finding and measuring artifacts, factors and attributes of web structure and contents from the perspective that information is a resource and property of products and services. Websites links is one of the core artifacts for understanding the virtual area. This study identifies the role of web link structure and webpage keyword as artifacts and examines their relationships by webpage rank by a minimal hub as performance in the business websites that are serving tourism information. Discovering relationships of links provides managerial insights on organizations virtual activities and systematic understandings about digitalized organizational information in the information use environment.

• ETRI Journal
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• 제40권6호
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• pp.745-758
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• 2018

A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

• 한국의류산업학회지
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• 제22권5호
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• pp.639-649
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• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• 한국정보처리학회논문지
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• 제7권12호
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• pp.3855-3865
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• 2000

문서 검색 시스템에서 자동 색인은 필수적이다. 그러나 자동 색인만으로 최적합 문서들을 상위에 위치시키기 불가능하다. 뿐만 아니라 동음이의어를 갖는 부적합한 문서들이 상위에 위치되는 것을 막을 길이 없다. 본 논문에서는 이런 문제를 해소하고 검색 효과를 높이기 위해 2차 검색에 자동 키워드망을 이용하는 두 단계 검색시스템을 연구하였다. 1차 검색은 자동색인으로 만들어진 역색인 파일을 이용하며, 2차 검색은 단어 연관성을 기초로 만든 자동 키워드망을 이용한다. 2차 검색을 위한 문서 순위 재조정 식들을 여러 개 만들어 비교하였으며, 이 식들이 동음이의어 어의 중의성 해소에 얼마나 효과가 있는지 성능을 평가하였다.

• 한국멀티미디어학회논문지
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• 제19권11호
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• pp.1878-1890
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• 2016

Web 2.0 has features produced the content through the user of the participation and share. The content production activities have became active since social network service appear. The social bookmark, one of social network service, is service that lets users to store useful content and share bookmarked contents between personal users. Unlike Internet search engines such as Google and Naver, the content stored on social bookmark is searched based on tag keyword information and unnecessary information can be excluded. Social bookmark can make users access to selected content. However, quick access to content that users want is difficult job because of the user of the participation and share. Our paper suggests a method recommending search word to be able to access quickly to content. A method is suggested by using Collaborative Filtering and Jaccard similarity coefficient. The performance of suggested system is verified with experiments that compare by 'Delicious' and "Feeltering' with our system.

• 한국콘텐츠학회논문지
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• 제18권7호
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• pp.449-458
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• 2018

소셜 네트워크 서비스의 사용량이 증가함에 따라 오프라인에서 발생한 이벤트 정보가 더욱 빠르게 확산되고 있다. 이에 따라 소셜 데이터를 분석하여 이벤트를 검출하기 위한 연구들이 진행되고 있다. 본 논문에서는 소셜 네트워크 환경에서 사용자 관심도를 고려한 그래프 기반 이벤트 검출 기법을 제안한다. 제안하는 기법은 사용자들이 게시한 글을 분석하여 키워드 그래프를 구축한다. 사용자의 소셜 행위로부터 관심도를 계산하고 관심도의 변화를 고려하여 이벤트 판별에 이용한다. 따라서 의미 없이 반복 게시되어 이벤트로 검출된 결과를 제거하고 결과의 신뢰성을 향상시킬 수 있다. 제안하는 이벤트 검출 기법의 우수성을 입증하기 위해 다양한 성능평가를 수행한다.

• 산업경영시스템학회지
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• 제41권3호
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• pp.129-137
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• 2018

VOCs have been used as the most definitive resource to reflect customer feedback when developing products and services. However, due to the development of the Internet and the emergence of SNS, VOC is no longer the only channel that represents customer opinions. There are also a number of studies showing that many customers express complaints through channels other than VOCs. In this paper, we analyze the difference between the official VOC data and the data collected through the external channel, and suggest ways to reflect the various opinions of customers. To do this, this study uses keyword analysis that can identify differences according to frequency through social network, modular analysis to distinguish topics according to centrality and similarity, and emotional analysis to confirm word polarity (positive and negative). The results of this study show that the opinions of the customers were different depending on channels such as VOCs and external channels. Therefore, the collected data through VOC as well as external channels should be used in order to reflect the opinions of customers. In particular, this paper confirms that the results of one channel may vary depending on the channel characteristics even for the same channel. This confirms that collecting voc only on certain channels may differ from what real customers require. Therefore, data collected through VOCs as well as external channels must be used to reflect various customer feedback.

• 농촌계획
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• 제22권2호
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• pp.45-55
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• 2016

From 1970, the concept of ecotourism is introduced, lots of studies in ecotourism appeared. Review these studies are necessary for future ecotourism studies. Some review studies on ecotourism are existed. However, these approach also limitation of subjectivities and some sorts of papers has not been reviewed. This study use keyword network analysis which is used as big data analysis to overcome the limitation. Foreign 2455 studies and domestic 163 studies which have ecotoursim in keywords, are analyzed for reviewing. As a result, 3 cluster('Sustainable tourism development', 'Ecological conservation', 'Ecotourist analysis' appeared, in ecotourism studies. In addition, this cluster has deep relationship with region. 'Sustainable tourism development' is related to Eurasia, Australia, Europe. 'Ecological conservation' is related to Africa. 'Ecotourism analysis' is related to North America. Especially 'Resident participation', 'Stakeholder' are appeared many times in Asia region. These results show that ecotourism studies are interpreted in regional contexts. It means that although only one word 'ecotourism' is used in different contexts, regional approach are needed for exact use. In Korea, the keywords are focused on ecotourists and developments. As Korea has lots of ecotour village, resident participation studies have to be supplemented.

• 지적과 국토정보
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• 제46권1호
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• pp.75-86
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• 2016

본 연구는 중앙정부와 지방정부 간 지하공간에 관한 주요 이슈를 파악하기 위해 소셜미디어 데이터를 활용하였다. 또한 이를 빅데이터 분석방법론을 통해 분석하였다. 연구방법론으로 사회네트워크분석의 키워드 네트워크 방법을 사용하였고 트위터를 통해 얻어진 텍스트 데이터를 텍스트마이닝 기법을 사용하여 분석하였다. 특히 지하공간은 2014년 잠실 싱크홀 사건 이후 사회적으로 관심을 가지고 있는 이슈로서 키워드 네트워크 분석을 통해 계량적으로 분석을 시도하였다. 네트워크의 속성을 파악하기 위해 중심성 지수, 그룹밀도 분석을 통해 지하공간과 관련된 이슈를 파악하였다. 이러한 분석 결과 중앙정부의 정책 관련 항목은 지자체 정책과 관련이 있음을 확인하였다. 중앙정부는 예방차원에서 특별법을 바탕으로 예방체계를 구축하여 지자체가 지하공간에 관련된 문제에 대해 대응 관리하도록 법에 근거한 예방체계를 구축하고 있다. 이와 같은 결과는 앞으로 중앙 정부가 연구관련 분야를 강화함으로써 지하공간 관련 안전대책을 구축하는 데 법과 기술이 서로 협력하여 발전해야 함을 시사해 준다.

• 디지털융복합연구
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• 제16권2호
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• pp.139-149
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• 2018

17세기 이후 항해기술의 진전과 더불어 국제무역은 증가되기 시작했다. 최근 해상운송은 화주 및 항만의 수요에 힘입어 운송모드 중 70%의 처리를 수행하고 있다. 이러한 측면에서 대부분의 연구자들은 항만개발 즉 항만수심, 항만경쟁, 항만관리 등에 집중하고 있으며, 환경, 생태계 및 조화로운 개발 등의 분야는 연구가 미진한 상황이다. 본 연구는 발틱해를 중심으로 해운, 항만 생태계, 오염 등에 집중하여 SNA 방법을 이용한 키워드네트워크를 분석하였다. 연구결과 발틱해 지역의 가장 큰 관심은 환경문제로 나타났다. 10년간의 연구기간 및 현지어로 수행된 연구결과를 포함하지 못한 한계가 있다.