• 전자통신동향분석
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• 제11권1호통권39호
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• pp.1-8
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• 1996

웹 서비스가 인터넷을 주도하면서 Hyper Text Markup Language(HTML) 문서 위주의 정보검색 서비스에서 한 발 더 나아가 SQL 데이터베이스와 웹을 통합하여 이를 비즈니스 분야로 확대 발전시키기 위한 연구가 진행되고 있다. 실제로 많은 웹 서버에서 Common Gateway Interface(CGI) 기능을 데이터베이스 검색에 활용하고 있다. 이와 함께 GCI를 사용자 입장에서 한 단계 발전시킨 WWW interface to DataBase(WDB), Gateway Structure Query Language(GSQL) 등이 인터넷에서 소개되고 있다. 본 고에서는 현재 다각도로 진행중인 웹과 데이터베이스 통합기술 동향을 CGI와 WDB를 통해 살펴보았다.

• 대기
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• 제30권3호
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• pp.237-248
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• 2020

In order to effectively prepare for damage caused by weather events, it is important to proactively identify the possible impacts of weather phenomena on the domestic society and economy. Text mining and Network analysis are used in this paper to build a database of damage types and levels caused by heat wave. We collect news articles about heat wave from the SBS news website and determine the primary and secondary effects of that through network analysis. In addition to that, based on the frequency with which each impact keyword is mentioned, we estimate how much influence each factor has. As a result, the types of impacts caused by heat wave are efficiently derived. Among these types of impacts, we find that people in South Korea are mainly interested in algae and heat-related illness. Since this technique of analysis can be applied not only to news articles but also to social media contents, such as Twitter and Facebook, it is expected to be used as a useful tool for building weather impact databases.

• 정보관리연구
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• 제30권3호
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• pp.44-54
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• 1999

SGML(Standard Generalized Markup Language)의 디스크립션은 WIPO(World Intellectual Property Organization) Standard ST.32의 디스크립션과 더불어 자세히 기술되고있다. SGML의 이용에 대한 이점이 강조되고 있으며, 그것은 시스템 독립적이며 특허출판 및 전문 데이터베이스구축에 타당성이 있다는 것이다. WIPO Standard ST.32를 적용한 특허문헌의 내용구조는 ST.32에 따라 작성한 DTD로 표현하고 텍스트 자체는 DTD에 따른 범용 마크업을 사용하여 기술한다. 본고에서는 전체문헌, 특정 서브문서, 문단 등의 계층구조와 표, 도면, 화학구조식 등의 비계층구조로 되어 있는 문서구조를 어떻게 표현하는가에 대하여 예를들어 설명하였다. 그리고 특허 문헌처리에서 SGML의 효과에 대하여 논의하였다.

• Journal of Korean Biological Nursing Science
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• 제23권3호
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• pp.170-179
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• 2021

Purpose: The aim of this study was to identify core keywords and topic groups in the 'Diabetes mellitus and mobile applications' field of research for better understanding research trends in the past 20 years. Methods: This study was a text-mining and topic modeling study including four steps such as 'collecting abstracts', 'extracting and cleaning semantic morphemes', 'building a co-occurrence matrix', and 'analyzing network features and clustering topic groups'. Results: A total of 789 papers published between 2002 and 2021 were found in databases (Springer). Among them, 435 words were extracted from 118 articles selected according to the conditions: 'analyzed by text network analysis and topic modeling'. The core keywords were 'self-management', 'intervention', 'health', 'support', 'technique' and 'system'. Through the topic modeling analysis, four themes were derived: 'intervention', 'blood glucose level control', 'self-management' and 'mobile health'. The main topic of this study was 'self-management'. Conclusion: While more recent work has investigated mobile applications, the highest feature was related to self-management in the diabetes care and prevention. Nursing interventions utilizing mobile application are expected to not only effective and powerful glycemic control and self-management tools, but can be also used for patient-driven lifestyle modification.

• 한국도서관정보학회지
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• 제40권2호
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• pp.223-242
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• 2009

본 연구는 초기수용자를 대상으로 수집자공급형 웹기반 학술정보데이터베이스의 사용성에 대한 정량적 및 정성적 평가를 실시하고, 개인의 특성에 따른 사용성 평가에 있어서의 차이를 분석한 탐색적 연구이다. Kolb 학습유형, 성별, 이용자교육 참가여부와 같은 이용자의 특성에 따른 탐색소요시간과 이용자 관점에서의 사용용이성, 용어이해도, 주제분류 이해도 및 만족도에 있어서의 차이가 있는지 살펴보았다. 분석 결과, Kolb 학습유형에서의 동화적 학습자와 조절적 학습자 간에 탐색소요시간에 있어서 통계적으로 유의한 차이가 있는 것으로 나타났으며, 사용용이성과 용어이해도에 대한 인식에 있어서 성별에 따른 통계적으로 유의한 차이가 나타났다. 그러나 이용자교육 참가여부에 따른 탐색소요시간과 사용성 인식에 있어서는 통계적으로 유의한 차이가 나타나지 않았다.

• 정보관리학회지
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• 제27권3호
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• pp.265-281
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• 2010

본 연구에서 제안하는 기법은 최대 개념강도 인지기법(Maximal Concept-Strength Recognition Method: MCR)이다. 신규 데이터베이스가 입수되어 자동분류가 필요한 경우에, 기 구축된 여러 데이터 베이스 중에서 최적의 데이터베이스가 어떤 것인지 알 수 없는 상태에서 MCR 기법은 가장 유사한 데이터베이스를 선택할 수 있는 방법을 제공한다. 실험을 위해 서로 다른 4개의 학술 데이터베이스 환경을 구성하고 MCR 기법을 이용하여 최고의 성능값을 측정하였다. 실험 결과, MCR을 이용하여 최적의 데이터베이스를 정확히 선택할 수 있었으며 MCR을 이용한 자동분류 정확률도 최고치에 근접하는 결과를 보여주었다.

• 중환자간호학회지
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• 제13권1호
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• pp.63-75
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• 2020

Purpose : The purpose of this study was to review mobile health (mHealth) interventions based on studies from online databases for community-dwelling patients with heart diseases. Methods : Six databases (RISS, KISS, PubMed, CINAHL, EMBASE, and SCOPUS) were searched to select studies conducted from January 1 to September 30, 2010. After this, quality appraisals were carried out using the Scottish Intercollegiate Guidelines Network checklist and a total of 11 studies were selected. Results : The selected 11 studies included 7 randomized controlled studies, 1 quasi-experimental study and 3 pilot studies. The main components of mHealth interventions included symptom monitoring at home, provisions for individualized messages for health management using text messaging, telephone or smart phone applications, and running websites for symptom monitoring or health education. Intervention periods varied from 6 weeks to 12 months. The findings of the studies suggested that the mHealth interventions were effective in improving self-management of heart diseases, quality of life, and decreasing symptoms. Conclusions : The results of the review suggested that mHealth interventions had positive effects on community-dwelling patients with heart diseases. More mHealth intervention studies need to be conducted in Korea to aid community-dwelling patients with heart diseases.

• 천문학논총
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• 제20권1호
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• pp.85-95
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• 2005

We collected eleven large astronomical catalogues, which include 2MASS, USNO B1.0, GSC 2 catalogues and so on. Most of these catalogues are the frequently used by astronomers for all sorts of applications. But the researches are faced with the problem of accessing these databases because these catalogues contain from tens millions up to thousands of millions of records. So we developed a web application system to manage these large catalogues, the main purpose of the web application is to allow a powerful and efficient querying activity on these catalogues through internet by using a simple web interface. User could retrieve the query result in variety of formats including plain text, HTML, Microsoft Excel format (XLS), and VOTable. Furthermore, user also could display and analyze result graphically by using a powerful interactive visualization tools named VOPlot which was developed by the Virtual Observatory-India (VOI) project.

• 한국정보처리학회논문지
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• 제7권2S호
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• pp.678-691
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• 2000

A variety of multimedia applications require multimedia database management systems to manage multimedia data, such as text, image, and video, as well as t support content-based image or video retrieval. In this paper we design and implement a content-based image retrieval system, BADA-IV/I$^2$R(Image Information Retrieval), which is developed based on BADA-IV multimedia database management system. In this system image databases can be efficiently constructed and retrieved with the visual features, such as color, shape, and texture, of image. we extend SQL statements to define image query based on both annotations and visual features of image together. A high-dimensional index structure, called CIR-tree, is also employed in the system to provide an efficient access method to image databases. We show that BADA-IV/I$^2$R provides a flexible way to define query for image retrieval and retrieves image data fast and effectively: the effectiveness and performance of image retrieval are shown by BEP(Bull's Eye Performance) that is used to measure the retrieval effectiveness in MPEG-7 and comparing the performance of CIR-tree with those of X-tree and TV-tree, respectively.

• Genomics & Informatics
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• 제17권1호
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• pp.10.1-10.3
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• 2019

To identify miRNA-mRNA interaction pairs associated with binary phenotypes, we propose a hierarchical structural component model for miRNA-mRNA integration (HisCoM-mimi). Information on known mRNA targets provided by TargetScan is used to perform HisCoM-mimi. However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. Another improvement of the new HisCoM-mimi approach is the inclusion of updated algorithms to provide the lasso and elastic-net penalties for users who want to fit a model with a smaller number of selected miRNAs and mRNAs. We expect that our HisCoM-mimi software will make advanced methods accessible to researchers who want to identify miRNA-mRNA interaction pairs related with binary phenotypes.