• Title/Summary/Keyword: Web of Knowledge

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Effect of a Web-enhanced Clinical Practicum on Learning Outcome of Adult Nursing Practicum in Nursing Students

  • Hwang, Seon-Young;Kang, Hee-Young;Choi, Ja-Yun;So, Hyang-Sook
    • International Journal of Contents
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    • v.8 no.2
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    • pp.36-42
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    • 2012
  • This study was conducted to develop Web-based multimedia content that assists undergraduate students in a clinical practicum on adult nursing. The study examined whether students in the intervention group could obtain clinical knowledge and perform more effectively when encouraged to learn Web content as compared with students in the conventional group. Web-based multimedia content consisting of 13 learning modules was developed based on real patients' scenarios through collaboration among college professors. A total of 120 nursing students (74 for the intervention and 46 for the conventional groups) from two universities in G-city, who engaged in a 3-week long clinical practicum in the digestive and respiratory units of a university hospital, participated in the study. Students' knowledge, self-directed learning, and clinical performance ability were measured using self-administered questionnaires. Data for pre- and posttests were collected over a 2-month period, between May and June of 2009. Clinical knowledge and self-reported clinical performance scores were significantly higher in students using the Web-enhanced clinical practicum than in those in the conventional group. However, there was no significant difference in self-directed learning ability between the 2 groups. These results demonstrate that Web-based multimedia content can be an effective educational tool for enhancing students' clinical knowledge and performance.

Web-based Knowledge Management for Using Product Data in E-Commerce (제품 데이터의 전자거래 활용을 위한 웹 기반 지식관리)

  • 박상우;윤흥규;유상봉;김철환
    • The Journal of Society for e-Business Studies
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    • v.5 no.1
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    • pp.1-18
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    • 2000
  • As the networks (i.e., intranet and internet) proliferate all over the world, it is inevitable to move some (or all) of the enterprise activities into virtual spaces. Differently from business data, product data have complex semantics and thus are not properly exchanged among different application programs. Even though some neutral formats of product data have been developed by standard organizations, translating them among various application programs still needs the comprehensive understanding of the complex semantics. Recently, it is widely recognized that capturing more knowledge is the next step In overcome the current difficulties on sharing product data. In this paper, we present Web-based knowledge management that facilitates seamless sharing of product data among various application programs in virtual enterprises. Three types of knowledge are managed by the knowledge management system - metadata, ontology, and mapping. In this environment, we consider both business applications (e.g., ERP, SCM, and EDI System) and engineering applications (e.g., CAD and CAM system).

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Sparse Data Cleaning using Multiple Imputations

  • Jun, Sung-Hae;Lee, Seung-Joo;Oh, Kyung-Whan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.119-124
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    • 2004
  • Real data as web log file tend to be incomplete. But we have to find useful knowledge from these for optimal decision. In web log data, many useful things which are hyperlink information and web usages of connected users may be found. The size of web data is too huge to use for effective knowledge discovery. To make matters worse, they are very sparse. We overcome this sparse problem using Markov Chain Monte Carlo method as multiple imputations. This missing value imputation changes spare web data to complete. Our study may be a useful tool for discovering knowledge from data set with sparseness. The more sparseness of data in increased, the better performance of MCMC imputation is good. We verified our work by experiments using UCI machine learning repository data.

Effectiveness of a Cost Management Education Program for Nurses: Focused on Differences between a Web-based Group and a Mobile-based Group (간호사를 위한 원가관리 교육프로그램의 효과: 웹기반 그룹과 모바일기반 그룹 간의 차이를 중심으로)

  • Lim, Ji Young;Kim, Juhang;Noh, Wonjung
    • Journal of Home Health Care Nursing
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    • v.26 no.2
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    • pp.133-144
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    • 2019
  • Purpose: This study was conducted to verify the effectiveness of a cost management education program, focusing on the differences between a web-based group and a mobile-based group. Method: This was a quasi-experimental study using a two-group pretest-posttest design. Participants were 74 nurses in a web-based group and 69 nurses in a mobile-based group. Data were collected between January 2 and February 10. The cost management education program was configured such that the participants studied eight modules over four weeks. The after-program post-test was conducted for one week. Results: Both the web-based group and the mobile-based group showed significantly higher values for cost management knowledge (S=5.98, p<.001 and S=2.76, p=.006, respectively). The web-based group had statistically significantly higher values for cost management knowledge (S=4,461.50, p<.001) than the mobile group. Conclusion: The cost management education program showed improvement in knowledge in both the web-based and mobile-based groups; however, the web-based approach was more effective for nurses. A cost management education program which can be implemented effectively across all range of nurses is recommended.

A Framework for Developing interoperable Knowledge Discovery System

  • Li, Sheng-Tun;Shue, Li-Yen
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.435-440
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    • 2001
  • The development of web-aware knowledge discovery system has received a great deal of attention in recent years. It plays a key-enabling role for competitive businesses in the E-commerce era. One of the challenges in developing web-aware knowledge discovery systems is to integrate and coordinate and coordinate existing standalone or legacy knowledge discovery applications in a seamless manner, so that cost-effective systems can be developed without the need of costly proprietary products. In this paper, we present an approach for developing a framework of web-aware interoperable knowledge discovery system to achieve this purpose. This approach applies RMI and high-level code wrapper of Java distributed object computing to address the issues of interoperability in heterogeneous environments, which includes programming language, platform, and visual object model. The effectiveness of the proposed framework is demonstrated through the integration and extension of the two well-known standalone knowledge discovery tools, SOM_PAK and Nenet. It confirms that a variety of interoperable knowledge discovery systems can be constructed efficiently on the basis of the framework to meet various requirements of knowledge discovery tasks.

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Encouraging organizational responsibility in web-based activity and evaluation of marketing performance (지식정보화사회에서 요구되는 기업의 웹생산활동과 웹마케팅성과에 관한 연구)

  • Kang, Inwon;Cho, Eunsun;Jung, Hyo-yeon
    • Knowledge Management Research
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    • v.15 no.2
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    • pp.23-41
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    • 2014
  • Firms increasingly utilize Social Networking Service(SNS) to lead user's voluntary behavior. In the web-based environment, users show coexist loyal behavior which is represented by 'web-based pro-organization citizenship behavior' and 'anti-citizenship behavior'. To measure genuine performance of web-activity, we separated degree of compliance based on credibility, 'deep-level' and 'surface-level' to comprehend different behavior after compliance. The analysis result shows that contents credibility is important to enhance deep-level of compliance which has significant influence on web-based pro-organization citizenship behavior. Contrastively, surface-level of compliance has influence on anti-citizenship behavior. Based on the results of these analyses, the directions of web-based activities for the common good and self-interests of the stakeholders of the web-based activities will be proposed.

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Web Impact Factor and Link Analysis of Indian Council of Agricultural Research (ICAR) Organizations

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.1
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    • pp.5-23
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    • 2018
  • There have been extensive studies done on webometrics, particularly on the impact of websites and the web impact factor. The present study analyzed the websites of ICAR organizations, according to the webometrics indicator. It examines and explores the 92 ICAR organizational websites in India and identifies a number of web pages and link pages, and calculates the Overall Web Impact Factor (WIF) and Absolute Web Impact Factor (WIF). In this study, all websites were analyzed and data extracted using Google search engine. It suggests that Web Impact Factors can be calculated as a way of comparing the attractiveness of web sites or domains on the Web.

The Basic Concepts Classification as a Bottom-Up Strategy for the Semantic Web

  • Szostak, Rick
    • International Journal of Knowledge Content Development & Technology
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    • v.4 no.1
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    • pp.39-51
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    • 2014
  • The paper proposes that the Basic Concepts Classification (BCC) could serve as the controlled vocabulary for the Semantic Web. The BCC uses a synthetic approach among classes of things, relators, and properties. These are precisely the sort of concepts required by RDF triples. The BCC also addresses some of the syntactic needs of the Semantic Web. Others could be added to the BCC in a bottom-up process that carefully evaluates the costs, benefits, and best format for each rule considered.

A Natural Language Query Framework for the Semantic Web

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.127-132
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    • 2008
  • This study proposes a Natural Language Query Framework (NLQF) for the semantic web. It supports an intelligent inference at a semantic level. Most of previous researches focused on the knowledge representation on the semantic web. However, to revitalize the intelligent e-business on the semantic web, there is a need for semantic level inference to the web information. To satisfy the need, we will review the knowledge/resource representation on the semantic web such as RDF, Ontology and Conceptual Graph (CG), and then discuss about the natural language (NL) inference. The result of this research could support a natural interface for the semantic web. Furthermore, we expect that the NLQF can be used in the semantic web-based business communications.

Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text

  • Tissera, Muditha;Weerasinghe, Ruvan
    • Journal of information and communication convergence engineering
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    • v.20 no.2
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    • pp.113-124
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    • 2022
  • News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.