• Title/Summary/Keyword: 검색도구

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A Study on User Satisfaction with CJK Romanization in the OCLC WorldCat System (도서관 서지정보의 한중일 로마자표기법에 대한 이용자 만족도 연구)

  • Ha, Yoo-Jin
    • Journal of the Korean Society for information Management
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    • v.27 no.2
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    • pp.95-115
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    • 2010
  • The purpose of this study is to investigate how individuals assess Chinese, Japanese, and Korean (CJK) transliterated bibliographic information on current library catalogs. Two separate studies, a survey and an experiment, were conducted using the WorldCat system. Users noted that Romanization has many issues which can inhibit user‘s ability to understand the transliterated bibliographic information even when it is in the person’s own native language and even when the individual had extensive experience with transliteration systems. The experimental results also supported these findings: participants had better results and satisfaction when looking for information written in English than when searching for transliterated information written in their native language. Implications for future research suggests a need to investigate user preferences for translation vs. transliteration of bibliographic information. This study proposes consideration of using English translation as a parallel link with CJK Romanization for bibliographic information.

An Insight Study on Keyword of IoT Utilizing Big Data Analysis (빅데이터 분석을 활용한 사물인터넷 키워드에 관한 조망)

  • Nam, Soo-Tai;Kim, Do-Goan;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.146-147
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    • 2017
  • Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

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Automatically Converting HTML Documents with Similar Pattern into XML Documents (유사 패턴을 갖는 HTML 문서의 XML 자동 변환)

  • O, Geum-Yong;Hwang, In-Jun
    • The KIPS Transactions:PartD
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    • v.9D no.3
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    • pp.355-364
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    • 2002
  • Recently, WWW(World Wide Web) has become a source of a large amount of information, and is now recognized not only as an information-sharing tool, but also as an information repository. Currently, the majority of documents on the web were created using HTML(Hypertext Markup Language). Although HTML is simple and easy to learn, its inherent lack of describing document structure makes it difficult to retrieve information effectively. One possible solution would be to convert such HTML documents into XML (extensible Markup Language) documents. This is a standard markup language for exchanging data on the web. It can describe a document structure freely by defining its own DTD (Document Type Definition). This makes it possible to integrate, store, and retrieve data on the web efficiently In this paper, we will propose a converter that automatically converts HTML documents with similar pattern into XML documents by analyzing the document structure and recognizing its path information.

Analysis of Research on Compassion Satisfaction among Nurses (간호사의 공감만족에 대한 국내 연구 분석)

  • Lee, Soon-Neum;Kim, Jung-A
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.599-609
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    • 2016
  • This study aimed to review and summarize the trends in research pertaining to the compassion satisfaction of nurses in Korea and to make suggestions for future research. For this study, RISS, KISS, NDSL, and National assembly library databases were searched using the key words 'nurse' and 'compassion satisfaction' or 'professional quality of life' and 'nurse'. Eighteen papers on compassion satisfaction of nurses were reviewed. This was a non-experimental study (100%), and included hospital nurses (100%). The general characteristics of interest pertaining to compassion satisfaction were age, position, career, educational status, and etc. The variables with respect to compassion satisfaction were burn out, compassion fatigue, job satisfaction, resilience, and etc. The findings of this study provide preliminary data on research trends in the compassion satisfaction of nurses. Nursing managers need to maximize strategies to enhance compassion satisfaction of nurses. A qualitative study and a development of a program focused on compassion satisfaction are recommended for future research.

Cost Model for Parallel Spatial Joins using Fixed Grids (고정 그리드를 이용한 병렬 공간 조인을 위한 비용 모델)

  • Kim, Jin-Deog;Hong, Bong-Hee
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.665-676
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    • 2001
  • The most expensive spatial operation in patial database in a spatial join which computes a combined table of which tuple consists of two tuples of the two tables satisgying a spatial predicate. Although the execution time of sequential processing of a spatial join has been so far considerably improved the response time is not tolerable because of not meeting the requiremetns of interactive users. It is usually appropriate to use parallel processing to improve the performance of spatial join processing. in spatial database the fixed grids which consist of the regularly partitioned cells can be employed the previous works on the spatial joins have not studied the parallel processing of spatial joins using fixed grids. This paper has presented an analytical cost model that estimates the comparative performance of a parallel spatial join algorithm based on the fixed grids in terms of the number of MBR comparisons. disk accesses, and message passing, Several experiments on the synthetic and real datasets show that the proposed analytical model is very accurate. This most model is also expected to used for implementing a very important DBMS component, Called the query processing optimizer.

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Service-Oriented Wireless Sensor Networks Ontology for Ubiquitous Services (유비쿼터스 서비스를 위한 서비스 지향 센서 네트워크 온톨로지)

  • Kim, Jeong-Hee;Kwon, Hoon;Kim, Do-Hyeun;Kwak, Ho-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.5
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    • pp.971-978
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    • 2008
  • This paper designs a service-oriented wireless sensor network ontology model which can be used as a knowledge base in future ubiquitous computing. In contrast to legacy approaches, this paper defines the new service classes (ServiceProperty, LocationProperty, and PhysicalProperty), as well as their properties and constraints that enable the service-oriented service based on service items. The service item merging between the proposed model and the legacy ontology was processed using the "equivalentClass" object property of OWL. The Protege 3.3.1 and RACER 1.9.0 inference tools were used for the validation and consistency check of the proposed ontology model, respectively, and the results of service query was applied to the newly defined property in SPARQL language without reference to the properties of legacy ontology.

Systematic Review of an Intervention Program for the Improved Reading Comprehension of Elementary School Students (초등학생의 읽기이해력 향상 중재프로그램에 대한 체계적 문헌고찰)

  • Joo, So-Hyun;Lee, Soo-Sang
    • Journal of Korean Library and Information Science Society
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    • v.52 no.3
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    • pp.197-215
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    • 2021
  • This study analyzed experimental studies of intervention programs provided to improve reading comprehension of elementary school students using a systematic review research method. Cochrane's handbook was applied, and key questions were formulated according to the PICOTS-SD. The inclusion and exclusion criteria were applied to 1,610 papers searched in KCI, and the final 18 cases were selected for analysis. The risk of bias was evaluated using the 'RevMan5' tool provided by Cochrane. As a result of the evaluation, the risk of bias was low in most areas. And for the qualitative analysis of these papers, a data summary table was prepared. As a result, the types of intervention programs were diverse, and in many cases, upper grade students were applied. The size of the experimental group ranged from 6 to 29, and there were more QED-based studies than RCT-based studies. The most mediation time was 40 minutes, and the number of mediation sessions was 8 to 24. And in all studies, the intervention programs were found to be effective in improving reading comprehension.

Effects of Virtual Reality Program on Recovery of Functional in individuals Stroke: A Systematic Review and Meta Analysis (뇌졸중 환자 대상의 가상현실 운동프로그램이 기능회복에 미치는 효과: 체계적 문헌고찰 및 메타분석)

  • Park, Seo-A;Kim, Hye-Young
    • Journal of Digital Convergence
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    • v.17 no.5
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    • pp.235-247
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    • 2019
  • This study was carried out to evaluate the efficacy of Virtual Reality(VR) program on recovery of functional in Stroke through systematic literature review and meta-analysis. The following databases were used to search the literature: RISS, KISS, KMbase. Keywords included 'stroke', 'CVA' 'virtual reality', 'rehabilitation', 'virtual reality program' and the evaluated articles were published from 2009 to November 2018. The statistical was used R program, the effect size of upper limb, balance and ADL were calculated by random-effects model. As a result, 9 RCT studies were meta-analyzed and were evaluated for the risk of bias by the RoB of Cochrane Collaboration; the overall risk of bias was low. The effect sizes of VR program was balance(g=.77), ADL(g=.80) as indicated by a "large effect size". Therefore, VR program is large effective in reducing balance and ADL in strokes. It is necessary to develop and apply a virtual reality-based program using more efficient program development.

Effects of Meaning Enhancement Program on Meaning of Life for Korean College Students: A Systematic Review (의미증진 프로그램이 우리나라 대학생의 삶의 의미에 미치는 효과: 체계적 문헌고찰)

  • Do, Eunna;Cho, Sunhee
    • Journal of Industrial Convergence
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    • v.19 no.5
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    • pp.79-90
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    • 2021
  • This study aimed to review the literature on the effects of the meaning enhancement program for college students studied in Korea, and to analyze the content and formal characteristics and the meaning enhancement effects of the program for college students. The literature was collected for studies aimed at enhancing meaning of life in college students among research papers and dissertations published in Korea until May 2021. Six databases were used to conduct searches with 'logotherapy' in Korean and English OR "meaning therapy" OR "meaning of life" OR 'meaning'. Two independent researchers performed an assessment of bias risk and research quality using a standardized tool, with seven final selected papers. All seven meaning enhancement programs were effective in discovering the meaning of life among college students, and both single and merged interventions were found to be effective. In order to analyze the effect size of meaning enhancement programs for college students, randomized control experimental studies need to be conducted in the future.

Tweens' Information Needs and Information Practices on YouTube (초기 청소년들(Tweens)의 정보요구와 유튜브(YouTube)에서의 정보추구행태)

  • Kim, Ji-Hyun;Koo, Joung Hwa
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.275-301
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    • 2021
  • The purpose of the research is to find out both what information tweens (12~14 years old adolescents) need and how they use YouTube to satisfy with their information needs. In order to achieve the goal, the research collected the data by conducting a survey on tweens (N=130) and analyzed the data with statistical processes. The research found out some significant results: first, tweens frequently use the informaton on YouTube and search for leisure information most often. Second, tweens search for information on YouTube because of ease and convenience on learning information even though they do not trust the information on YouTube. Third, tweens regard that YouTube play the role as a significant information source and searching tool, and use information on YouTube because the information on YouTube are composed of easy-to-understand video format. On the basis of the results, the research suggests and discusses how information organization such as public or school libraries provide information services for youth groups effectively.