• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.399-402
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• 2017

대학 내 기관별 웹페이지의 방문자 패턴을 분류하고, 하이퍼링크에 따른 네트워크 분석을 통해 방문자수와의 연관성을 연구하였다. 웹페이지 언어에 따라 영문 홈페이지는 공통적으로 낮은 방문 패턴을 보였으며, 단과대학이 개별 학과에 비해 높은 방문자수를 보였다. 웹페이지 하이퍼링크의 중심도(Centrality) 분석에서는 사이중심도(Betweenness centrality)를 정도(degree)로 정규화한 값이 방문자 수의 상한 값에 대응되는 현상이 발견되었다. 홍보효과를 위해 홈페이지 내용, 구조 설계뿐만 아니라 웹 상에 적절한 노출 전략도 도움이 됨을 알 수 있었다.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.95-110
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• 2013

This paper presents a novel feature engineering technique that can improve the conventional machine learning-based text classification systems. The proposed method extends the initial set of features by using hyperlink relationships in order to effectively categorize hypertext web documents. Web documents are connected to each other through hyperlinks, and in many cases hyperlinks exist among highly related documents. Such hyperlink relationships can be used to enhance the quality of features which consist of classification models. The basic idea of the proposed method is to generate a sort of ed concept feature which consists of a few raw feature words; for this, the method computes the semantic similarity between a target document and its neighbor documents by utilizing hierarchical relationships in the WordNet ontology. In developing classification models, the ed concept features are equated with other raw features, and they can play a great role in developing more accurate classification models. Through the extensive experiments with the Web-KB test collection, we prove that the proposed methods outperform the conventional ones.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1986-1989
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• 2003

This paper proposes the information retrieval improvement for the Web using the structure and hyperlinks of HTML documents along with user profile. The method bases on the rationale that terms appearing in different structure of documents may have different significance in identifying the documents. The method partitions the occurrence of terms in a document collection into six classes according to the tags in which particular terms occurred (such as Title, H1-H6 and Anchor). We use genetic algorithm to determine class importance values and expand user query. We also use this value in similarity computation and update user profile. Then a genetic algorithm is used again to select some terms from user profile to expand the original query. Lastly, the search engine uses the expanded query for searching and the results of the search engine are scored by similarity values between each result and the user profile. Vector space model is used and the weighting schemes of traditional information retrieval were extended to include class importance values. The tested results show that precision is up to 81.5%.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and tents. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternatives guaranteeing a sense of reality for customers' part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and texts. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternative guaranteeing a sense of reality for customers part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.265-268
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• 2004

Keyword matching technique which is used in most information retrieval systems is unfit for efficient processing of geometrically increasing information. The problem can be solved by using semantic information and an efficient method of semantic processing is introduced in this paper. The technique uses conceptual graph to represent the semantic information and apply it for information retrieval. The implemented system can perform exact matching and partial matching. Partial matching has two different types. One is syntactic partial matching and the other is semantic partial matching. The semantic semilaries are measured by the subclass relations in the ontology. The introduced technique can be used not only information retrieval but also in various applications such as an implementation of dynamic hyperlinks.

• Journal of Contemporary Eastern Asia
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• v.13 no.2
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• pp.15-39
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• 2014

This research conducted a before/after naturalistic field experiment, with the early Arab Spring as the treatment. Compared to before the early Arab Spring, after the observation period the associations became stronger among the Web terms: 'Jihad, Sharia, innovation, democracy and civil society.' The Western concept of civil society transformed into a central Islamist ideological component. At another level, the inter-nation network based on Jihad-weighted Web hyperlinks between pairs of 46 Muslim Majority (MM) nations found Iran in one of the top two positions of flow betweenness centrality, a measure of network power, both before and after early Arab Spring. In contrast, Somalia, UAE, Egypt, Libya, and Sudan increased most in network flow betweenness centrality. The MM 'Jihad'-centric word co-occurrence network more than tripled in size, and the semantic structure more became entropic. This media "cloud" perhaps billowed as Islamist groups changed their material-level relationships and the corresponding media representations of Jihad among them changed after early Arab Spring. Future research could investigate various rival explanations for this naturalistic field experiment's findings.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.63-82
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• 2008

The explosively growing attractiveness of the Web is commencing significant demands for a structuring analysis on various web objects. The larger the substantial number of web objects are available, the more difficult for the clients(i.e. common web users and web robots) and the servers(i.e. Web search engine) to retrieve what they really want. We have in mind focusing on the structure of web objects by introducing optimization models for more convenient and effective information retrieval. For this purpose, we represent web objects and hyperlinks as a directed graph from which the optimal structures are derived in terms of rooted directed spanning trees and Top-k trees. Computational experiments are executed for synthetic data as well as for real web sites' domains so that the Lagrangian Relaxation approaches have exploited the Top-k trees and Hop constraint resolutions. In the experiments, our methods outperformed the conventional approaches so that the complex web graph can successfully be converted into optimal-structured ones within a reasonable amount of computation time.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.213-230
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• 2003

Most of existing expert systems developed for Web use CGI-based techniques and this frequently makes them suffer from the overburden of commercial Web servers, which deal with large-scale services. However, since HTML-based inference technique represents expert's knowledge by hyperlinks among HTML documents, the hypertext function of the Web can perform the inference efficiently in terms of time and space without the help of additional inference engines. In spite of such benefits, when the expert's knowledge is relatively large and/or complicated, the HTML-based inference technique has usually become to have a hard time of dealing with a lot of HTML documents because generation and management tasks of the numerous HTML documents would cause big trouble to the knowledge engineer. To resolve this problem, we developed an automatic generation and management tool for Web-based inference sites, called WeBIS. With this tool, a knowledge engineer can input and edit expert's knowledge using Expert's Diagram on the GUI(Graphical User Interface) environment and automatically generate hyper-linked HTML documents for Web-based inference from the Expert's Diagram.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.1
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• pp.53-87
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• 2015

This study investigates the current state of online research guides of the national archives of four countries including the UK, the USA, Australia, and Korea. It also analyzes the name and accessibility, subject coverage and categorization, number of guides completed, and structure and types of resources linked with each guide. The examined online research guides are evaluated based on accessibility, variety, systematization, consistency, and hyperlinks. Based on the analyses, it suggests the directions of designing research guides for the National Archives of Korea.