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  • P-ISSN1013-0799
  • E-ISSN2586-2073

Vol.25 No.1

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Abstract

The purpose of this paper is to identify the usefulness of Weblog genre analysis in knowledge creation within an organization where communications are occurred frequently among the employees with information and communication technologies (ICTs). Knowledge creation is essential to achieve competitive advantage in today’s knowledge-oriented working environments. There has been huge investment on knowledge management systems to achieve such advantages. It is, however, widely recognized that distributed knowledge management systems often fail due to the different social contexts across the sub-organizations where the local information systems are deployed. It is important to coordinate such social gaps across the sub-organizations to achieve better advantages. Given that Weblogs users often feel a shared social norm, Weblogs play a positive role of narrowing the social gaps. This paper argues that the genre analysis of Weblogs could provide important clues to narrow the social gaps existed across the sub-organizations within an organization. Hence, such taxonomical practice may be a solution for the high rate of failure in knowledge management system implementations in an organization. This paper uses the theory of organizational knowledge creation (Nonaka & Takeuchi, 1995) and social construction of technology (SCOT) approach (Bijker, 1995) to compare the socialized with the non-socialized integration of distributed information systems. The findings of this research provide a useful framework for better implementing knowledge management practices especially in distributed working environments.

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Abstract

Cue words and phrases of critical sentences, Paradigms knowing the critical information between sentences, Rules extracting the sentences contained critical information and producing the critical sentences were made to construct the critical abstract of scholar journals in the web environment. The ontology aided to accomplish above works were designed, to manage and operate the cue words and phrases in documents and the symptoms related to Purpose, Method, Result, and Conclusion sentences. The results of performance test remarked to improve the advancement of extraction and production rules and the reinforcement of ontology's relationship.

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Abstract

This study investigated the main user types of the reading programs which are provided by sixty-two public libraries during September, “the Month of Reading,” in seven metropolitan cities, Seoul, Pusan, Daegu, Incheon, Daejeon, Gwangju and Ulsan. For the analysis, the data are collected from 622 programs of “the Month of Reading.” The content analysis method was used to analyze data and find meanings from it. The findings show, there are a little differences in the priority order of the main user types among the seven metropolitan cities, however, the children and all ages of the public libraries in seven metropolitan cities are identified as the main user types of the libraries.

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Abstract

The purpose of this study is to estimate economic value of document delivery services(DDS) at foreign journal supporting center in K University library. For this study, Bass diffusion model, which is widely used in forecasting, especially new product and new service forecasting, was adopted. User survey was also carried out from September 10 to 20, 2007. As a result, useful value(UV) of DDS is estimated about not less than 2,000,000,000 won, and willingness to pay(WTP) is estimated about less than 2,000,000,000 won. This study, economic value analysis at foreign journal supporting center, was limited to DDS, and used methodology for the study is also limited to UV and WTP. Demographic analysis(i.e., sex, age, occupation, educational level) for UV and WTP is also conducted.

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Abstract

With explosive growth in the area of the Internet and IT services, various types of e-documents are generated and circulated. An e-Document is a sort of electronic records which a organization performs works and goals. In this study, we propose a security algorithm for secure use and distribution of e-documents. Especially, the proposed method can be applied to generate digital signature which can guarantee authenticity, integrity, confidentiality of an e-document and authenticate authorized users. Also, we can get higher security level as using a smart card that provides highly storing capacity and security. We carried out an experiment to verify efficiency and security of the proposed method.

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Abstract

National competence is based on the quality of university education, which is determined by the competitiveness of academia, research and information. IMD reported that Singapore, #2 country in national competence index, topped in quality of university education. Meanwhile Korea's current national knowledge infrastructure project lacks comprehensive coordination at a governmental level and has been conducted in a rather sporadic manner, without any consideration on the overall analysis of knowledge information resources. Consequently, a disproportionate amount of attention was devoted to collecting general information resources, while neglecting rare, hard-to-collect sources with historic, academic, and/or cultural values. This study proposes to build an academic resource management system to fully supervise academic resources at least, among national knowledge information resources which is a national asset, and also to allocate budget and cultivate new information building projects based on overall analysis on academic resources. In other words, there is a need for a management system to implement efficient linkage, distribution and utilization of academic resources and, to that end, we need to build an academic resource management system at a national level, maximizing the benefits from the knowledge society that we live in.

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Analyzing out the Key Tasks and Developing the Professional Type of National Librarians through Job Analysis was made, because improving the professionalism of librarians is the strategy of survival in the competency based society. It is composed of 22 duties, 216 tasks of national librarian job and 96 key tasks is extracted among them. As the results, 12 types of professional librarian which is composed 10 function oriented types, and 2 user oriented types, is suggested: collection development librarian, catalogerㆍtaxonomist, information service librarian, reading coach, research librarian of international standards, database & system manager, international work librarian, national support librarian, marketing librarian, library literacy librarian, children' librarian, handicapped service librarian.

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Abstract

Actually a diffusion of a Semantic Web application and utilization are situations insufficient extremely. Technology most important in Semantic Web application is construction of the Ontology which contents itself with characteristics of Semantic Web. Proposed a suitable a Method of Building Web Ontology for characteristics of Semantic Web and Web Ontology as we compared the existing Ontology construction and Ontology construction techniques proposed for Web Ontology construction, and we analyzed. And modeling did Ontology to bases to Description Logic and the any axiom rule that used an expression way of SWRL, and established Inference-based Web Ontology according to proposed ways. Verified performance of Ontology established through Ontology inference experiment. Also, established an Web Ontology-based Intelligence Image Retrieval System, to experiment systems for performance evaluation of established Web Ontology, and present an example of implementation of a Semantic Web application and utilization. Demonstrated excellence of a Semantic Web application to be based on Ontology through inference experiment of an experiment system.

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Author co-citation analysis(ACA) technique has been widely used for identifying research areas and trends in a discipline. But this technique has some limitations, mainly due to citation delay, on analyzing current trends and identifying active researchers. In this study, a new method, named as Bibliographic Author Coupling Analysis(BACA), is suggested for overcoming those limitations of author co-citation analysis. BACA is based on Kessler's bibliographic coupling approach and focuses not on documents but on authors. Simply stated, BACA technique assumes that those likewise citing authors have the same research interests. For the purpose of comparing with author co-citation analysis, two preceding studies with author co-citation analysis are reconsidered and re-examined using BACA. The comparing results can be regarded as promising the usefulness of BACA in analyzing current research trends and identifying active researchers.

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Abstract

We would generally use subject terms such as subject indexing for searching and accessing documents. So then, there must be any relationship between document's full-text and its subject terms. This study is started in this question. Master's theses in field of science and technology are worked with because full-text is relatively formatted. This study is to study locations of subject term on Thesis, distribution patterns of subject terms on content of full-text; ‘Contents’, ‘Introduction’, ‘Theory’, ‘Main subject’, ‘Conclusion’ and ‘References’. Thesis were averagely composed of 1226.3 terms. And Subject terms were averagely compose of 12~13 terms. As a result, ‘Contents’ and ‘Introduction’ have had the most frequency of subject.

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Abstract

This study examines various weighting methods for improving the performance of automatic classification based on Rocchio algorithm on two collections(LISA, Reuters-21578). First, three factors for weighting are identified as document factor, document factor, category factor for each weighting schemes, the performance of each was investigated. Second, the performance of combined weighting methods between the single schemes were examined. As a result, for the single schemes based on each factor, category-factor-based schemes showed the best performance, document set-factor-based schemes the second, and document-factor-based schemes the worst. For the combined weighting schemes, the schemes(idf*cat) which combine document set factor with category factor show better performance than the combined schemes(tf*cat or ltf*cat) which combine document factor with category factor as well as the common schemes(tfidf or ltfidf) that combining document factor with document set factor. However, according to the results of comparing the single weighting schemes with combined weighting schemes in the view of the collections, while category-factor-based schemes(cat only) perform best on LISA, the combined schemes(idf*cat) which combine document set factor with category factor showed best performance on the Reuters-21578. Therefore for the practical application of the weighting methods, it needs careful consideration of the categories in a collection for automatic classification.

Journal of the Korean Society for Information Management