• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.7-36
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• 2019

In this study, quantitative and content analysis was conducted on 37,818 news articles that were reported on the subject of 'library' for 29 years from 1990 to 2018 in order to analyze the tendency of media coverage about 'library'. First, the quantitative change in media coverage was analyzed according to the criteria by time, subject and media type. In addition, keyword frequency analysis and semantic network analysis were conducted to analyze the trends of the contents of the press and the frames inherent in the press. The results showed that the media showed a major interest in the library's informational, educational, and cultural functions, and the trend of the subject's interest was generally consistent with that of the library community, except for the issue of librarianship. Lastly, the main attitudes that the media take toward the reporting of library articles were the reporting and advertising functions.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.2
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• pp.29-49
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• 2008

Library 2.0 stands for the term which suggests the changes in library's services. Library 2.0, the term, was first appeared in 2005 and have studied as a meaningful model for library services. The majority was related to the definition of basic concepts, overview of best practices, and case study for individual implementation. There are three goals of this study which is distinguished from other library 2.0 studies. First, I have surveyed various types of services and classified into three groups. Second, I have examined the properties viewed in this light of content, user, and manager. Third, I have propose a new conceptual model of a information ecosystem which thinks the library 2.0 collectively.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.251-275
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• 2011

In this paper, we propose a novel kernel called a semantic parse tree kernel that extends the parse tree kernel previously studied to extract protein-protein interactions(PPIs) and shown prominent results. Among the drawbacks of the existing parse tree kernel is that it could degenerate the overall performance of PPI extraction because the kernel function may produce lower kernel values of two sentences than the actual analogy between them due to the simple comparison mechanisms handling only the superficial aspects of the constituting words. The new kernel can compute the lexical semantic similarity as well as the syntactic analogy between two parse trees of target sentences. In order to calculate the lexical semantic similarity, it incorporates context-based word sense disambiguation producing synsets in WordNet as its outputs, which, in turn, can be transformed into more general ones. In experiments, we introduced two new parameters: tree kernel decay factors, and degrees of abstracting lexical concepts which can accelerate the optimization of PPI extraction performance in addition to the conventional SVM's regularization factor. Through these multi-strategic experiments, we confirmed the pivotal role of the newly applied parameters. Additionally, the experimental results showed that semantic parse tree kernel is superior to the conventional kernels especially in the PPI classification tasks.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.2
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• pp.31-47
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• 2013

The purpose of this study is to develop a measurement tool for self-image of the teacher librarian by semantic differential meaning scale and to analyse the correlation between their self-image and individual characteristics. This study suggests that the teacher librarians have regarded themselves as friendly, planned, sensitive and cooperative persons as well as persons with discernment. On the other hand, there are some negative self-images such as partial, poor and uninfluential persons plus disregarder and a reserved persons. The educational career of teacher librarians' background has influence on evaluation area of the self-image. This result shows that senior teacher librarians' role performance as a adviser or a leader is very important. So mediator role of KLA and KSLA has to be reinforced to beat the exchange and collaboration between the senior and the junior teacher librarians. It is necessary to appoint the teacher librarians obligatorily in oder to feel their professional security and sense of achievement, also to appreciate expertise of them through role clarification among the human resources of the school library.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.25-44
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• 2022

The purpose of this study is to examine how the content components of information literacy textbooks develop and is to find implications for improving of textbook publication. Three kinds of information literacy textbooks were published sequentially over time. The content components of 『Information and media』(1996) and 『Library and information skills』(2011) are processed by filament structure and 『Information and library』(2002) has a topic-driven project activity. Generally, a small lesson unit of the textbook consisted of three components (learning goals, learning contents, learning activities) and each component in the unit have to make semantic close relationships. However, in some information literacy textbooks, there are cases that the semantic relationship between goals, contents, and activities are cut off. This disconnection cases can be a fatal drawback for the reliability of textbooks, so sufficient attention is needed to develop information literacy textbooks later.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.21-30
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• 2019

Information about the formation and filling (in 2014 to 2016) of a terminological dictionary on electronics and radioengineering and collective work (in 2017 to 2018) with a data bank "TERMIN" is presented in this article. In purpose of creating an instrument of navigating the modern scientific-technical space a net of terms with set semantic links is described. This set is based on the analysis of terms' definitions (each term is checked for inclusion in the definitions of all other terms; the definitions were borrowed from reputable reference editions: encyclopedias, dictionaries, reference books). The created model of a system that consists of different information sources, in which it (information) is indexed by the terminology of Russian State Rubricator of Scientific and Technical Information rubrics and/or keywords, is described. There is an access for the search in all these sources in the system. Searching inquiries are referred to in the language of these rubrics or formulated by arbitrary terms. The system is to refer to information sources and give out relevant information. In accordance with this model, semantic links of various types, which allow expanding a search at different modalities of query, should be set among data bank terms. Obtained links will have to increase semantic matching, i.e., they can provide actual understanding of the meaning of the information that is being sought.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.1
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• pp.181-198
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• 2010

In this paper, the necessity calling for a paradigm shift in information organization is summarized: an attempt is being made to move from a web of documents to a web of data. In this, the principles used to make a universal library network, as part of the semantic web, or linked data, are described. Popular RDF vocabularies are also briefly introduced emphasizing FRBR and RDA vocabularies. Some library-related linked data projects are also summarized, describing the steps necessary to make a library catalogue available as linked data, as well as a rationale for doing so. Lastly, proposed models for a universal library network focusing on linked data are suggested. Some implications for the use of library applications for linked data, among others, are also presented.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.175-190
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• 2006

For the recent several years, there has been much interest in lexical semantic network However it seems to be very difficult to evaluate the effectiveness and correctness of it and invent the methods for applying it into various problem domains. In order to offer the fundamental ideas about how to evaluate and utilize lexical semantic networks, we developed two automatic vol·d clustering systems, which are called system A and system B respectively. 68.455.856 words were used to learn both systems. We compared the clustering results of system A to those of system B which is extended by the lexical-semantic network. The system B is extended by reconstructing the feature vectors which are used the elements of the lexical-semantic network of 3.656 '-ha' verbs. The target data is the 'multilingual Word Net-CoroNet'. When we compared the accuracy of the system A and system B, we found that system B showed the accuracy of 46.6% which is better than that of system A. 45.3%.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.51-70
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• 2016

The purpose of this study is to analyze the semantic relation network and valence-arousal dimension through the words that describe emotions in Korean language. The results of this analysis are summarized as follows. Firstly, each emotion word was semantically linked in the network. This particular feature hinders differentiating various types of "emotion words" in accordance with similarity in meaning. Instead, central emotion words playing a central role in a network was identified. Secondly, many words are classified as two categories at the valence and arousal level: (1) negative of valence and high of arousal, (2) negative of valence and middle of arousal. This aspects of Korean emotional words would be useful to analyze emotions in various text data of books and document information.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.2
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• pp.141-160
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• 2011

This study suggested knowledge base and search engine for the libraries that have the largescaled data. For this purpose, 3 components of knowledge bases(triple ontology, concept-based knowledge base, inverted file) were constructed and 3 search engines(search engine JENA for rule-based reasoning, Concept-based search engine, keyword-based Lucene retrieval engine) were implemented to measure their performance. As a result, concept-based retrieval engine showed the best performance, followed by ontology-based Jena retrieval engine, and then by a normal keyword search engine.