• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5888-5903
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• 2019

The Relational ranking method applies authority-based ranking in relational dataset that can be modeled as graphs considering also their tuples' values. Authority directions from tuples that contain the given keywords and transfer to their corresponding neighboring nodes in accordance with their values and semantic connections. From our previous work, ObjectRank extends to ValueRank that also takes into account the value of tuples in authority transfer flows. In a maked difference from ObjectRank, which only considers authority flows through relationships, it is only valid in the bibliographic databases e.g. DBLP dataset, ValueRank facilitates the estimation of importance for any databases, e.g. trading databases, etc. A relational keyword search paradigm Object Summary (denote as OS) is proposed recently, given a set of keywords, a group of Object Summaries as its query result. An OS is a multilevel-tree data structure, in which node (namely the tuple with keywords) is OS's root node, and the surrounding nodes are the summary of all data on the graph. But, some of these trees have a very large in total number of tuples, size-l OSs are the OS snippets, have also been investigated using ValueRank.We evaluated the real bibliographical dataset and Microsoft business databases to verify of our proposed approach.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.133-156
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• 1999

The purpose of this paper is to show how conceptual data modeling can enhance current information retrieval (IR) systems. The conceptual database design provides for: 1) data mining capability to discover new knowledge based on the relationships between entities, and 2) integrating current separate databases into one IR system (e.g., integrating ISI Citation, a thesaurus, and bibliographic databases into one retrieval system) . Further, as new user requirements are unfolded, modifications of IR systems based on conceptual data modeling will be much easier to make than they were in the current IR systems because conceptual modeling facilitates flexible modifications. The enhanced Entity-Relationship (ER) model was employed in this study to develop conceptual schemas of IR data.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.261-280
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• 2012

This study seeks to replace PaRIS Principles and find directions of revising KCR4 by analyzing the international Cataloging Principles 2009(ICP 2009) established in the environment of Machine Readable Cataloging. ICP 2009 was reflected in cataloging rules such as RDA and ISBD 2010 as the minimal principles for uniformity in establishing each nation's cataloging rules. In contrary, KCR4 needs to be revised because it has never been changed after 2003, and has only description rules without any rules for the choice and forms of access points. Therefore, this study aims to grasp requirements that should be reflected in KCR4 through analyzing ICP 2009. In first step, it is to grasp the features of ICP 2009 by comparing PaRIS Principle and ICP 2009 and to compare KCR4 in aspects of ICP 2009. The detailed elements for comparison between ICP 2009 and KCR4 are scope, general principles, entitles, attributes, and relationships, objectives and functions of the catalogue, bibliographic description, access points, foundations for search capabilities as the contents of ICP 2009. As a result, this study could give some directions of KCR4 in the future. First, ISBD 2010 and conceptual models should be reflected in KCR4 in description. Second, it should regulate the authority access points in KCR4 based on ICP 2009. Third, it will describe essential access points of work and expression attributes in bibliographic records and authority records to find works and expression. This study will contribute to guide the national cataloging rules.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.1
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• pp.269-286
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• 2013

This study analysed work types of Chinese bibliographical records based on FRBR model to identify how many useful data there are in bibliographical records and how much difference in usefulness there is according to themes. For the purposes, the study randomly extracted samples of 2,200 Chinese books with 100 cases of 22 kinds from "Chinese Library Classification" through National Library of China's OPAC, targeting Chinese books collected by the National Library of China to analyse the work types of Chinese bibliographical records and their usefulness in application of the FRBR model according to themes and data types. The results are summarized as follows: Firstly, in applying the FRBR model for Chinese bibliographical records, 18.6% was considered as useful works for which simple work was added to complex work. Secondly, although it is a fact that usefulness is higher as bibliographical relations are more complex, only works by famous people collected in 'Marxism-Leninism'(A) and some classics and modern masterpieces collected in 'Literature'(I) have diverse versions of works such as sequels, revision, reproduction, adaptation, and critical books. However, if criticism, review, explanation and bibliographical introduction are included in specific subjects of 'Military'(E), 'Language and Words'(H), 'Literature'(I) and 'Comprehensive Book'(Z), it was clear that their usefulness is relatively high.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.157-182
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• 2023

This study analyzed the structure and utilization of subject headings in the National Library of Korea Subject Headings List (NLSH) based on an analysis of subject headings assigned to 1,218,867 national bibliographies from 2003 to 2022. The findings of the study are as follows: Firstly, among all subject headings in the NLSH, there were 257,103 preferred terms, accounting for 50.2% of the total terms. Foreign language terms constituted 33% (169,466), while non-preferred terms comprised 12% (61,442). Among the preferred terms, 57,312 subject headings were used, accounting for 22.3%. However, it was observed that 54.7% (31,351) of these subject headings were assigned less than 5 times, indicating that only a small number of subject headings were frequently utilized. Secondly, the frequency of relationship indicators appeared in the order of RT, BT, and NT. The NLSH consisted of 12,602 top-level subject headings and 143,704 lowest-level subject headings, with a maximum depth of 17 levels. Thirdly, on average, 1.72 subject headings were assigned per bibliographic record. The number of subject headings assigned and the depth of the hierarchy increased for materials with more specific contents. Recent bibliographic records have been assigned more subject headings and deeper into the hierarchy of the NLSH. It was also found that the number of subject headings assigned per bibliography varied depending on the main class of KDC. Based on the findings, it is recommended to evaluate the coverage of terms in the NLSH, reorganize hierarchical relationships and depth of subject headings, and enhance the development of subdivisions within the NLSH.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.195-211
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• 2014

Cloud computing services provide IT resources as services on demand. This is considered a key concept, which will lead a shift from an ownership-based paradigm to a new pay-for-use paradigm, which can reduce the fixed cost for IT resources, and improve flexibility and scalability. As IT services, cloud services have evolved from early similar computing concepts such as network computing, utility computing, server-based computing, and grid computing. So research into cloud computing is highly related to and combined with various relevant computing research areas. To seek promising research issues and topics in cloud computing, it is necessary to understand the research trends in cloud computing more comprehensively. In this study, we collect bibliographic information and citation information for cloud computing related research papers published in major international journals from 1994 to 2012, and analyzes macroscopic trends and network changes to citation relationships among papers and the co-occurrence relationships of key words by utilizing social network analysis measures. Through the analysis, we can identify the relationships and connections among research topics in cloud computing related areas, and highlight new potential research topics. In addition, we visualize dynamic changes of research topics relating to cloud computing using a proposed cloud computing "research trend map." A research trend map visualizes positions of research topics in two-dimensional space. Frequencies of key words (X-axis) and the rates of increase in the degree centrality of key words (Y-axis) are used as the two dimensions of the research trend map. Based on the values of the two dimensions, the two dimensional space of a research map is divided into four areas: maturation, growth, promising, and decline. An area with high keyword frequency, but low rates of increase of degree centrality is defined as a mature technology area; the area where both keyword frequency and the increase rate of degree centrality are high is defined as a growth technology area; the area where the keyword frequency is low, but the rate of increase in the degree centrality is high is defined as a promising technology area; and the area where both keyword frequency and the rate of degree centrality are low is defined as a declining technology area. Based on this method, cloud computing research trend maps make it possible to easily grasp the main research trends in cloud computing, and to explain the evolution of research topics. According to the results of an analysis of citation relationships, research papers on security, distributed processing, and optical networking for cloud computing are on the top based on the page-rank measure. From the analysis of key words in research papers, cloud computing and grid computing showed high centrality in 2009, and key words dealing with main elemental technologies such as data outsourcing, error detection methods, and infrastructure construction showed high centrality in 2010~2011. In 2012, security, virtualization, and resource management showed high centrality. Moreover, it was found that the interest in the technical issues of cloud computing increases gradually. From annual cloud computing research trend maps, it was verified that security is located in the promising area, virtualization has moved from the promising area to the growth area, and grid computing and distributed system has moved to the declining area. The study results indicate that distributed systems and grid computing received a lot of attention as similar computing paradigms in the early stage of cloud computing research. The early stage of cloud computing was a period focused on understanding and investigating cloud computing as an emergent technology, linking to relevant established computing concepts. After the early stage, security and virtualization technologies became main issues in cloud computing, which is reflected in the movement of security and virtualization technologies from the promising area to the growth area in the cloud computing research trend maps. Moreover, this study revealed that current research in cloud computing has rapidly transferred from a focus on technical issues to for a focus on application issues, such as SLAs (Service Level Agreements).

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.493-510
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• 2015

The purpose of this study is to analyze cooperative relationship and information needs using the interlibrary loan (ILL) service data of the academic libraries. This study interprets the ILL service data as information source that including unsolved information problems. Also, this study normalizes the ILL service data using the collaboration index. The results of this study have three aspects. First, col hs-index can be useful tool for analyzing ILL service relationship between different sizes of libraries. Second, this study find out the information needs and the collection characteristics of each library after analyzing ILL data by subjects. Third, by applying col hs-index, we could analysis more objective ILL data and found out possibility of bibliographic index.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.35-45
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• 2012

Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

• Journal of the Korean Society for Library and Information Science
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• v.25
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• pp.389-413
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• 1993

This study was inspired by the growing importance of information as a resource for improving the quality of life, the lack of systematic research about the information environment of Koreans in the United States and the lack of understanding of the relationships between individual characteristics and information seeking behavior. During 1990 and 1991, 204 Koreans, 18 years old and more, residing in the City of Los Angeles, were interviewed. Generally the information seeking behavior of Koreans appeared to be similar to that of the socioeconomically advantaged segment of the general public. They are relatively well aware of their information needs. capable of articulating them, and willing to pursue information to meet their needs. Major findings include: (1) the dominance of educational information needs: (2) positive feelings of hope, curiosity. and interest associated with information needs: (3) the tendency to pursue information with the expectation of potential rather than immediate rewards: (4) the expertise of information sources and their ability to provide information directly relevant to a need as criteria for selecting an information source: (5) the generally heavy reliance on informal interpersonal information sources and the high ranking of professionals as the starting point for information seeking and in judgements of usefulness: and (6) the dominant use of Korean ethnic information sources. Statistically significant correlations found at the 0.05 level relate (1) level of education, age, and gender with type of information need, the feelings associated with an information need, motivations to seek information, and the use of information sources, (2) proficiency in English and length of residence in the United States with the extent to which ethnic information sources are used, and (3) pattern of daily use of media with the use of media in seeking information.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.7-29
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• 2019

This study describes an approach for comparative bibliometric analysis of scientific publications related to (i) individual or several departments comprising a university, and (ii) broader integrated subject areas using multiple disciplinary schemes. It uses a custom dataset of scientific publications (ca. 15,000 articles and reviews, published during 2009-2013, and recorded in the Web of Science Core Collections) with author affiliations to the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university. The dataset was subjected, at first, to the department level and discipline level analyses using the newly available KAKEN-L3 classification (based on MEXT/JSPS Grants-in-Aid system), hierarchical clustering, correspondence analysis to decipher the major departmental and disciplinary clusters, and visualization of the department-discipline relationships using two-dimensional stacked bar diagrams. The next step involved the creation of subsets covering integrated subject areas and a comparative analysis of departmental contributions to a specific area (medical, health and life science) using several disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas, OECD Frascati 38 subordinate research fields, and KAKEN-L3 66 subject categories. To illustrate the effective use of the science mapping techniques, the same subset for medical, health and life science area was subjected to network analyses for co-occurrences of keywords, bibliographic coupling of the publication sources, and co-citation of sources in the reference lists. The science mapping approach demonstrates the ways to extract information on the prolific research themes, the most frequently used journals for publishing research findings, and the knowledge base underlying the research activities covered by the publications concerned.