• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 추계학술발표대회
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• pp.153-156
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• 2006

최근 개인 컴퓨터에 저장되는 다양한 미디어 정보에 대한 검색요구가 크게 대두되면서, 다양한 데스크톱 검색 시스템이 출현하고 있다. 그러나, 기존 데스크톱 검색 시스템은 파일명, 일부 제한된 메타데이터, 콘텐츠들에 대한 키워드 기반의 검색을 수행하기 때문에 사용자의 요구에 부합하는 결과를 정확하게 제시하는 못하는 문제점이 있다. 본 논문에서는 이와 같은 문제점을 해결하기 위해서 시맨틱웹 기술을 활용하여, 온톨로지에 기반한 메타데이터를 정의하고 이를 기반으로 메타데이터간의 의미적 연관성에 기반한 시맨틱 데스크톱 검색/관리 시스템에 대해 기술한다.

• 의학교육논단
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• 제22권2호
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• pp.85-92
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• 2020

The purpose of this study is to discuss the main principles and concepts of social constructivism, examine the literature on the application of social constructivism in medical education, and explore the meaning and limitations of the utilization of social constructivism with learning theory. A literature search was carried out in two stages, utilizing PubMed, CINAHL and Education Source databases. The first search included both fields (social constructivism AND medical education), while the second search was performed by subject (Vygotsky or ZPD or zone of proximal development or scaffolding AND medical education). A total of 96 papers were found through the first and second searches, and after reviewing the abstracts of all 96 papers, 41 papers were deemed suitable for research purposes. In medical education, social constructivism is applied in areas such as (1) social and cultural behaviors (hidden curriculum), (2) social construct of "meaning" (dialogue and discourse), (3) learner's identity transformation (expert), and (4) instructional intervention (ZPD and scaffolding). Social constructivism has provided many ideas to explore in terms of the composition of knowledge in the sociocultural context of health care, but it has not demonstrated an explicit instructional method or educational effects.

• 대한한의학방제학회지
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• 제25권1호
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• pp.39-49
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• 2017

Objectives : The contents of the literature associated with the medical records were entered into the database. We want to find the structure and search methods for efficient utilization of the database. Methods : The contents were entered into the database using the 'Access 2014 of the MS'. The Query Sentences were created and utilized for a search. Results : We could find information about the prescriptions, medical records and patients by the herbs and symptom combinations using the single table named 'Integrated Knowledge' and queries. Integrated Knowledge is a table that gathered patient information, prescription information and symptom information together. Conclusions : If you store patient, prescription and symptom information on a single table, you could search and use the results by various combinations of the various elements included in the table. These results could help curing patients on the basis of evidence-based treatment at the clinics.

• 대한한의진단학회지
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• 제16권2호
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• pp.1-10
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• 2012

Objectives : Recently, for over ten years, various arterial pulse simulators have been developed for training of pulse palpation technique. In this paper, we summarized development trends of those apparatuses. Materials and methods : To search the cases of development, we mainly used China Knowledge Infrastructure (CNKI), National Discovery for Science Leaders (NDSL), Korean Traditional Knowledge Portal, Patent Search by Baidu (百度專利搜索), and some general search engines. Some domain cases introduced were collected based on personal experience. Results : It was found that there were two types of arterial pulse simulators. The first type uses fluids and pumps, while the second type uses actuators without fluid circulation parts. Conclusion : From year 2000, various arterial pulse simulators have been developed. In general, they could be classified two types. Further effort toward Maixiang (脈象) simulation and validation in field is needed.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.986-1016
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• 2019

Mobile user interface pattern (MUIP) is a kind of structured representation of interaction design knowledge. Several studies have suggested that MUIPs are a proven solution for recurring mobile interface design problems. To facilitate MUIP selection, an effective clustering method is required to discover hidden knowledge of pattern data set. In this paper, we employ the semi-supervised kernel fuzzy c-means clustering (SSKFCM) method to cluster MUIP data. In order to improve the performance of clustering, clustering parameters are optimized by utilizing the global optimization capability of particle swarm optimization (PSO) algorithm. Since the PSO algorithm is easily trapped in local optima, a novel PSO algorithm is presented in this paper. It combines an improved intuitionistic fuzzy entropy measure and a new population search strategy to enhance the population search capability and accelerate the convergence speed. Experimental results show the effectiveness and superiority of the proposed clustering method.

• 한국비블리아학회지
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• 제33권1호
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• pp.259-277
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• 2022

본 연구는 외국인 유학생들의 웹 검색엔진을 사용한 정보검색행위를 분석하였다. 실험에 참가한 15명의 외국인 유학생들은 3가지 검색 태스크에 포함된 6개의 검색질문에 대한 답을 찾도록 하였으며, 각 태스크 별로 사전 설문지 작성, 검색 수행, 사후 설문지 작성으로 실험이 진행되었다. 검색 태스크의 특성에 따라 검색성과와 검색행동에는 차이가 있었으나 공통적으로 한국어의 유창성이 높은 참가자들의 검색 성과가 높은 것으로 나타났다. 그러나 검색주제에 관한 사전지식이 검색성과에 항상 영향을 미치는 것은 아닌 것으로 나타났다. 메뉴와 링크를 통하여 웹사이트를 탐색해서 답을 찾는 태스크의 경우, 정답이 포함된 웹페이지 앞에서도 정답을 간과하는 경우가 발견되었다. 또한 오답을 찾고 그것을 인지하지 못하는 경우도 있었다. 국내의 외국인 거주자들에게 정보를 제공하기 위해서는 비원어민들이 탐색하기에 용이한 웹사이트를 디자인하고 양방향 소통 수단이 소셜미디어를 사용하는 것이 필요하다고 제안되었다.

• 지식경영연구
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• 제19권2호
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• pp.21-45
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• 2018

With the widespread use of smartphones and the development of information technology, an online service called SNS(social network service) has emerged, and as an increasing number of people began to use SNS, extensive research has been conducted on SNS. SNS is an important factor for adolescents who are developing social skills that help them to adapt to the society, and for adults who are stepping into the society. The present study investigates the effects of information search, self-disclosure, interaction, and playfulness, all of which are motivational factors for SNS use, on flow in SNS, and empirically analyzes the degree of these variables influence according to flow in SNS and individual's personal nature(extrovert, introvert). The analysis results showed that information search, self-disclosure, interaction, and playfulness were positively correlated with flow in SNS, and flow in SNS was positively correlated with social skills. The degree of influence varied depending on the individual's personal nature(extrovert, introvert). These findings may provide important insights for researchers studying SNS, SNS managers, and company officials using SNS.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 2003년도 제10회 학술대회 논문집
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• pp.143-152
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• 2003

본 연구는 인터넷 환경에 따른 정보의 지식화현상과 지식경영 추세에 따라 새롭게 등장한 웹 검색엔진의 지식검색커뮤니티 기반 지식관리에 관한 연구이다. 아직까지 지식검색커뮤니티에 대한 연구를 거의 찾아볼 수 없는 상황에서, 본 연구는 네이버의 ‘지식 iN’, 야후의 ‘지식검색’, 엠파스의 ‘지식거래소’를 대상으로 웹 검색엔진의 지식검색커뮤니티를 살펴보았다. 지식의 개념을 통해 지식 순환과정을 고찰하였고, 순환과정의 각 단계별로 지식관리를 연구하였다. 더불어 커뮤니티 기반의 지식창출과 지식공유단계에 대한 이용자연구를 하고자 한다. 이를 바탕으로 보다 건전하고 활발한 지식공유문화조성을 위한 지식검색커뮤니티의 활성화 방안을 제안하고자 한다.

• International Journal of Knowledge Content Development & Technology
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• 제3권1호
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• pp.65-80
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• 2013

Today, citation index information is used as an outcome scale of spreading technology and encouraging research. Article citation information is an important factor to determine the authority of the relevant author. Google Scholar uses the article citation information to organize academic article search results with a rank algorithm. For an accurate analysis of such important citation index information, large amounts of bibliographic data are required. Therefore, this study aims to build a fast and efficient system for large amounts of bibliographic data, and to design and develop a system for quickly analyzing cited information for that data. This study also aims to use and analyze citation data to be a basic element for providing various advanced services to the academic article search system.

• 한국정보시스템학회지:정보시스템연구
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• 제14권3호
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• pp.53-58
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• 2005

In this study, we will employ a multi-agent for the search and extraction of data in a distributed environment. We will use an Integrator Agent in the proposed model on the Hierarchical Clustering and Association Rule Discovery(HCARD). The HCARD will address the inadequacy of other data mining tools in processing performance and efficiency when use for knowledge discovery. The Integrator Agent was developed based on CORBA architecture for search and extraction of data from heterogeneous servers in the distributed environment. Our experiment shows that the HCARD generated essential association rules which can be practically explained for decision making purposes. Shorter processing time had been noted in computing for clusters using the HCARD and implying ideal processing period than computing the rules without HCARD.