• Child Health Nursing Research
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• 제27권3호
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• pp.201-210
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• 2021

Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1286-1306
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• 2022

Searchable symmetric encryption (SSE) provides a safe and effective solution for retrieving encrypted data on cloud servers. However, the existing SSE schemes mainly focus on single keyword search in single client, which is inefficient for multiple keywords and cannot meet the needs for multiple clients. Considering the above drawbacks, we propose a scheme enabling dynamic multi-client and Boolean query in searchable symmetric encryption for cloud storage system (DMC-SSE). DMC-SSE realizes the fine-grained access control of multi-client in SSE by attribute-based encryption (ABE) and novel access control list (ACL), and supports Boolean query of multiple keywords. In addition, DMC-SSE realizes the full dynamic update of client and file. Compared with the existing multi-client schemes, our scheme has the following advantages: 1) Dynamic. DMC-SSE not only supports the dynamic addition or deletion of multiple clients, but also realizes the dynamic update of files. 2) Non-interactivity. After being authorized, the client can query keywords without the help of the data owner and the data owner can dynamically update client's permissions without requiring the client to stay online. At last, the security analysis and experiments results demonstrate that our scheme is safe and efficient.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.355-365
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• 2023

This study examined the relationship between corporate governance and risk disclosure via a systematic literature review and bibliometric visualization analysis. The study aimed to present evidence of risk disclosure intellectual structure, volume, and development knowledge trends. Data was extracted from Scopus and analyzed with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and RTools. In turn, 64 articles were extracted from the Scopus database. The results demonstrated that the number of corporate governance and risk disclosure publications increased significantly from 2015 to 2019 compared to before 2015. RTools revealed the most prominent journals, authors, and interests in the field. The co-occurrences map was constructed based on 208 keywords from 64 articles, where the keywords were required to appear once in the research. Interestingly, the keyword search yielded new concepts relatively unexplored in the risk disclosure field. The 13 clusters were generated, which contained 1987 total links and 1567 direct citations. Based on the scientific analysis discussion, corporate governance and risk disclosure is an interesting topic that has produced many publications. Applying research keywords arguably aided in producing and publishing papers in top journals. Despite the number of publications decreasing due to the COVID-19 pandemic, the pandemic also presented new opportunities for future research.

• 한국정보처리학회논문지
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• 제6권11S호
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• pp.3399-3409
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• 1999

Information filtering for internet search, in which new information retrieval environment is given, is different from traditional methods such as bibliography information filtering, news-group and E-mail filtering. Therefore, we cannot expect high performance from the traditional information filtering models when they are applied to the new environment. To solve this problem, we inspect the characteristics of the new filtering environment, and propose a semantic-based filtering model which includes a new filtering method using WordNet. For extracting keywords from documents, this model uses the SDCC(Semantic Distance for Common Category) algorithm instead of the TF/IDF method usually used by traditional methods. The world sense ambiguation problem, which is one of causes dropping efficiency of internet search, is solved by this method. The semantic-based filtering model can filter web pages selectively with considering a user level and we show in this paper that it is more convenient for users to search information in internet by the proposed method than by traditional filtering methods.

• 문화기술의 융합
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• 제4권4호
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• pp.337-341
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• 2018

온라인 미디어의 지속적인 발전과 최근 모바일 컴퓨팅 사용 환경이 급격하게 개선됨에 따라 인터넷 정보의 유통이 공급자 중심 단방향에서 소비자 중심의 양방향으로 빠르게 변화하였다. 이에 따라 인터넷 정보의 관심도를 측정하는 것이 공급자와 소비자에게 중요한 문제로 대두되었다. 본 논문에서는 국내 인터넷 정보제공 업체에서 제공하는 실시간 검색어를 자동화된 소프트웨어를 구현하여 1개월간의 데이터를 수집하고, 실시간 검색어의 지속시간을 분석하여 인터넷 정보 관심도를 분석하였다.

• 지능정보연구
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• 제18권4호
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• pp.129-143
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• 2012

웹 기술의 급속한 발전은 기업들이 관리해야 하는 정보량의 폭발적인 증가를 초래하였다. 이와 더불어 보다 정확한 정보를 찾기 위한 검색 엔진 솔루션 시장의 규모도 더불어 크게 증가하였다. 하지만 대부분의 검색엔진들은 사용자의 검색 의도를 고려하지 않고 사용자가 입력한 특정 키워드를 포함하는 문서들을 반환하는 방법을 채택하고 있어, 실제 사용자가 원하는 정보를 찾는데 까지는 부가적인 시간과 노력이 요구된다. 본 연구에서는 이러한 문제를 해결 하기 위한 중요 기술인 적합성을 만족시키기 위해 재현율과 정확율을 높일 수 있는 방법을 제안하였다. 우선 검색어의 재현율을 높일 수 있도록 유사어 관계 확장을 위한 온톨로지 스키마 모델을 제안하고 이를 기반으로 한 추론을 통해 검색어의 확장을 제시하였다. 확장된 검색어들을 이용하여 문서 검색을 하기 위한 다단계 유사도 검색 순위화 알고리즘을 제안하였다. 설계된 온톨로지 스키마와 온톨로지 저장소의 데이터를 기반으로 추론과 유사도 검색 순위화 엔진이 포함된 웹사이트 형식의 사용자 의도 적응형 검색 솔루션을 구현하였다. 구현된 검색 솔루션을 통해 다양한 검색어를 입력하여 제안 방법의 타당성을 입증하였고 사용자 의도를 고려한 맞춤형 검색 솔루션의 필요성을 설명하였다.

• 대한본초학회지
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• 제36권5호
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• pp.1-14
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• 2021

Objectives : From January 2020, when the first confirmed case of COVID-19 in Korea, the use of health information using the Internet is expected to increase. It is expected that there will be a significant change in the general public's interest in Korean herbal medicines for health care. Therefore, in this study, we tried to confirm the change in the search trend of Korean herbal medicines after the COVID-19 epidemic. Methods : Using the "Naver DataLab (http://datalab.naver.com)" service of a Korean portal site Naver, search volume was investigated with 606 Korean herbal medicines as keywords. The search period was from January 2020, right after the onset of COVID-19, to June 2021. The search results were sorted by the peak search volume and the total search volume. Results : 'Cheonsangap (천산갑, 穿山甲, Manitis Squama)' was the most searched Korean herbal medicine in the peak search volume and total search volume with least bias. Conclusions : The problem of supply and demand of Korean herbal medicines of high public interest was identified. Broadcasting and media exposure were the factors that had a big impact on the search volume for Korean herbal medicines. As it was confirmed that the search volume for Korean herbal medicines increased rapidly due to media exposure, it is necessary to provide correct information about Korean herbal medicines, improve public awareness, and manage stable supply and demand based on continuous search trend monitoring.

• 한국지역지리학회지
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• 제13권3호
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• pp.290-300
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• 2007

본 연구는 인터넷 문서상에 나타나는 도시 지명의 문서 빈도를 통계량으로 도시규모에 대한 분석을 실시하였다. 검색어가 갖는 의미상의 차이에 따른 조건과 검색의 범위를 제약하면서 나타나는 유의적인 차이점들에 대해 분석하였고, 도시규모분포의 상관계수에 대한 분석을 통해 인구와 문서빈도와의 차이점을 분석하였다. 각 도시의 인구와 문서빈도와 상관관계 분석에서는 검색어의 종류를 보다 공간적의 의미로 제약할수록 더 높은 상관관계가 나타났고, 문서의 종류는 상용, 네트워크, 기관의 경우에 있어서 높은 상관관계가 나타났다. 그리고 인구와 문서빈도의 통계량을 이용한 군집분석을 통해서, 인구에 비해 더 많은 혹은 낮은 문서빈도를 보이는 도시들을 파악하였다. 이와 같은 분석은 웹 문서라는 정보통신사회 속에서 반영되는 각 도시의 특성을 분석하는 새로운 방안을 제시한다는 점에서 큰 의미를 갖는다고 할 수 있다.

• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.547-558
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• 2012

Social network analysis is a graphical technique to search the relationships and characteristics of nodes (people, companies, and organizations) and an important node for positioning a visualized social network figure; however, it is difficult to characterize nodes in a social network figure. Therefore, their relationships and characteristics could be presented through an application of correspondence analysis to an affiliation matrix that is a type of similarity matrix between nodes. In this study, we provide the relationships and characteristics around authors and keywords in the JKSS(Journal of the Korean Statistical Society) of the Korean Statistical Society through the use of social network analysis and correspondence analysis.

• 한국도서관정보학회지
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• 제25권
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• pp.83-107
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• 1996

The purpose of this study is to experiment online public access catalog enhancements to improve its subject access capability. Three catalog databases, enhanced with title keywords, controlled vocabulary, and content words with controlled vocabulary respectively, were implemented. 18 searchers performed 2 subject searshes against 3 different catalog databases. And the transaction logs are analyzed. The results of the study can be summarized as follows : Controlled vocabulary catalog database achieved 41.8% recall ratio in average ; the addition of table of contents words to the controlled vocabulary is an effective technique with increasing recall ration upto 55% without decreasing precision ; and the database enhanced with title keywords shows 31.7% recall ratio in average. Of the three kinds of catalog databases, only the catalog with contents words produced 2 unique relevant documents. The results indicate that both user training and system development is required to have better search performance in online public access catalog.