• Journal of Korean Elementary Science Education
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• v.23 no.2
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• pp.123-130
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• 2004

This study is aimed at exploring the effects on Science Inquiry Ability, Scientific Attitude and Science Achievement of the Elementary School Students according to the Input time of Web-Based Instruction Programs. As the object of the study, seventy-two students were selected from three classes in the fifth grade of Y Elementary School located in the city of T, Gyungsangnam-do. They were classified into the three groups such as Group A (Class 1), Group B (Class 2) and Group C (Class 3). The author threw web-based instruction programs into the begining of a unit, during a unit, the end of a unit to each group, and explored the effects. The results of this study were as follows: First, for the learning effect of science inquiry ability, it was indicated that there was the highest effect in the case of throwing web-based instruction programs into during a unit, but the effect reduced a little in the case of throwing them into the end of a unit. Secondly, the scientific attitudes tended to be reduced in the case of throwing them into during a unit, but there did not occur statistically significant improvement. Thirdly, the degree of improvement of the science achievement tended to be highest in the case of throwing them into the end of a unit. Such findings indicated that the time of throwing in web-based instruction programs affected science inquiry ability, scientific attitude and science achievement of elementary school students. Thus, it will be said that teachers need to teach their students with the class strategies of considering various scientific elements revealed at the time of throwing in web-based instruction programs.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.375-379
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• 2008

디지털 핑거프린팅(Digital Fingerprinting) 기술은 구매자의 정보를 인지할 수 없는 방법으로 삽입하는 방법이다. 본 논문에서는 핑거프린팅 기법을 사용하여 웹 서버에 요청이 들어온 모든 웹 페이지에 핑거프린팅 기술의 조건을 충족시키는 방법으로, 정보를 삽입하여 보여 지는 웹 페이지의 변화 없이 사용자의 IP정보를 웹 페이지에 포함시켜 전송할 수 있는 알고리즘을 제시하고 웹페이지 핑거프린팅을 해주는 서버이용의 장점을 알아보도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.906-909
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• 2013

The Semantic Web is leading us to a world of information sharing by enabling distributed knowledge aggregation and creation. RDF is the foundations of the Semantic Web. For secure Semantic web we need to secure RDF as well. Unauthorized access to an RDF document can change or damage its semantics or manipulate the relations between resources. This article includes the study of RDF security issues and analysis of the existing solutions. After finding limitations of existing solution, a hybrid approach has been proposed.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.3
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• pp.29-42
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• 2008

Semantic Web society initially focused only on data but has gradually moved toward knowledge. Recently rule beyond ontology has emerged as a key element of the Semantic Web. All of these activities are obviously aiming at making data and knowledge on the Web sharable and reusable between various entities around the world. If one of ultimate visions of the Semantic Web is to increase human's decision making quality assisted by machines, there is a missing but important part to be shared and reused. It is knowledge about constraints on data and concepts represented by ontology which should be emphasized more. In this paper, we propose Semantic Web Constraint Language (SWCL) based on OWL and show how effective SWCL can be in representing and solving an internet shopper's decision making problem by an implementation of a shopping agent in the Semantic Web environment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.10a
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• pp.422-440
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• 2005

There are many kinds of research on web graph, most of them are focus on the hyperlinked structure of the web graph. Well known results on the web graph are rich-get-richer phenomenon, small-world phenomenon, scale-free network, etc. In this paper, we define a new directed web graph, so called the Web Usage Pattern Graph (WUPG), that nodes represent web sites and arcs between nodes represent a movement between two sites by users' browsing behavior. The data to constructing the WUPG, approximately 56,000 records, are gathered in the Kyungsung University. The results analysing the data summarized as follows: (i) extremely rich-get-richer phenomenon (ii) average path length between sites is significantly less than the previous one (iii) less external hyperlinks, more internal hyperlinks

• Journal of Korean Library and Information Science Society
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• v.33 no.2
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• pp.235-258
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• 2002

Since 1991 when the first Web pages wore placed on the internet, information access for numerous Web sites has developed new indexing methods which are different from traditional methods. This paper, as a basic research, deals with Web indexing(Website indexing). Embedded indexing providing basics of Web indexing is examined, and essential META tags used in Web indexing are reviewed in brief. Finally, all the important issues of Web indexing are investigated in detail.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.384-388
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• 2007

WebDAV(Web-based Distributed Authoring and Versioning)는 웹 기반의 분산 저작과 버전관리를 지원하는 표준 명세로서, 인터넷을 통하여 다양한 콘텐츠의 비동기적인 협업을 지원하는 표준 하부구조를 제공한다. 특히 WebDAV의 속성 관리 기능은 자원의 주요 정보를 속성으로 설정하여 관리할 수 있는 기능이다. 이러한 WebDAV의 속성 관리기능을 이용하는 경우 사용자 측에서 자유롭게 속성관리가 가능하여 웹을 기반으로 하는 협업시스템 및 자원공유 시스템을 개발하는데 매우 유용하게 활용될 수 있다. 본 논문에서는 웹을 통한 문서 및 데이터의 관리를 제공하는 응용시스템의 개발을 효율적으로 지원할 수 있도록 한 WebDAV 프로토콜의 확장과 이를 이용하여 기업내에서 생성되는 기술문서 및 도면 문서에 대한 협업을 지원해주는 도면공유시스템을 개발하였다. 확장된 WebDAV의 기능을 이용하는 경우 응용시스템 개발자는 사용자 속성을 정의함으로써 어플리케이션을 간편하게 설계할 수 있게 되며, 기존의 웹 서버에서는 복잡하게 구현해야했던 자원에 대한 잠금관리 및 버전관리 기능도 지원받을 수 있게 된다.

• Proceedings of the IEEK Conference
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• summer
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• pp.376-381
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• 2004

The Semantic Web is an extension of the current Web in which information is given formal and explicit meaning. The Semantic Web enables computer programs to understand information contents and thus facilitates more efficient discovery, automation, integration and sharing of data. To create Semantic Web contents one needs appropriate tools. In this paper, we describe such a toolkit we have constructed. The most important feature of the toolkit is that it makes use of information extraction techniques for automatically annotating web page contents. Experiments with a real life application show promising results and demonstrate the usefulness of the toolkit.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.2
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• pp.171-185
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• 2001

The purpose of this study was to identify web designer's knowledge organization for WWW. Linked web sites were investigated in public library web pages. Independent variable was the supervised offices of public libraries and dependent variables were the web sites of type of public libraries, supervised offices of public libraries, and employment information. Results showed that special library and supervised office web sites were linked differently by public library web pages differently based upon supervised offices. This difference was resulted from geographical factors and types of information on the web sites.

• Journal of Information Processing Systems
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• v.9 no.3
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• pp.395-404
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• 2013

In order to classify a web page as being benign or malicious, we designed 14 basic and 16 extended features. The basic features that we implemented were selected to represent the essential characteristics of a web page. The system heuristically combines two basic features into one extended feature in order to effectively distinguish benign and malicious pages. The support vector machine can be trained to successfully classify pages by using these features. Because more and more malicious web pages are appearing, and they change so rapidly, classifiers that are trained by old data may misclassify some new pages. To overcome this problem, we selected an adaptive support vector machine (aSVM) as a classifier. The aSVM can learn training data and can quickly learn additional training data based on the support vectors it obtained during its previous learning session. Experimental results verified that the aSVM can classify malicious web pages adaptively.