• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.177-195
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• 2017

This study attempts to infer research fronts using factor graph model based on heterogeneous features. The model suggested by this study infers research fronts having documents with the potential to be cited multiple times in the future. To this end, the documents are represented by bibliographic, network, and content features. Bibliographic features contain bibliographic information such as the number of authors, the number of institutions to which the authors belong, proceedings, the number of keywords the authors provide, funds, the number of references, the number of pages, and the journal impact factor. Network features include degree centrality, betweenness, and closeness among the document network. Content features include keywords from the title and abstract using keyphrase extraction techniques. The model learns these features of a publication and infers whether the document would be an RF using sum-product algorithm and junction tree algorithm on a factor graph. We experimentally demonstrate that when predicting RFs, the FG predicted more densely connected documents than those predicted by RFs constructed using a traditional bibliometric approach. Our results also indicate that FG-predicted documents exhibit stronger degrees of centrality and betweenness among RFs.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.249-267
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• 2004

Although MARC can define the detail cataloguing data, it has complex structures and frameworks to represent bibliographic information. On account of these idiosyncratic features of MARC, XML DTD or RDF/S that supports simple hierarchy of conceptual vocabularies cannot capture MARC formalism effectively. This study implements bibliographic ontology by means of abstracting conceptual relationships between bibliographic vocabularies of MARC. The bibliographic ontology is formalized with OWL that can represent the logical relations between conceptual elements and specify cardinality and property value restrictions. The bibliographic ontology in this study will provide metadata for cataloguing data and resolve compatibility problems between cataloguing systems. And it can also contribute the development of next generation bibliographic information system using semantic Web services.

• Journal of Korean Library and Information Science Society
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• v.38 no.2
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• pp.223-244
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• 2007

With the rapid and broad changes of information ecology, the environment within which cataloging principles and standards operate has changed dramatically. As a result, IFLA study groups developed Functional Requirements for Bibliographic Records(FRBR) model which is a conceptual model for bibliographic universe. This study intends to make a comprehensive inquiry about historical meanings and functional features of FRBR model. To the end, a comprehensive literature survey and analysis was conducted to introduce how hot and serious the discussion on this model in library cataloging. In conclusion, this study made several suggestions on the role of academic and library world (or applications of this model in Korea Library circumstance.

• Animal cells and systems
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• v.2 no.4
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• pp.419-425
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• 1998

Comprehensive bibliographic sources of Plecoptera systematics in Korea and Far East Russia were provided. Systematic status and distributional features of stoneflies in those areas were also discussed. Based on comprehensive type and non-type material examinations in those areas, new synonymies of Sweltsa colorata Zhiltzova and Levanidova, 1978 〔＝ Sweltsa nikkoensis (Okamoto), 1912〕 and Capnia KUa (Yoon and Aw, 1986)〔＝Paracapnia recta Zhiltzova, 1984〕 were established; and the following species were newly recorded from Korea: Taenionema aponicum (Okamoto), Paraleuctra cercia (Okamoto), Leuctra fusca (Linnaeus), Eucapnopsis stigmatica Okamoto, Paracapniarecta Zhiltzova, Nemoura jezoensis (Okamoto), Stavsolus japonicus (Okamoto), Isoperla flavescens Zhiltzova and Potikha, Alloperla joosti Zwick, A. rostellata (Klapalek) Sweltsa nikkoensis (Okamoto), and S. lepnevae Zhiltzova.

• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.415-440
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• 2005

This paper analyses meta-data systems for serials in order to provide the fundamental infrastructure for serials-sharing systems based on semantic interoperability. According to the primitive features of serials information, meta-data for serials are classified into 3 main subsystems: serial identification Information, serial bibliographic information and serial holding information. The serial identification information that play the important role of the primary key in library management systems should be refined to accommodate serials with digital formats. Although MARC formats have been commonly used for the description of serial bibliographic information, a new meta-data format for serial bibliographic information that harmonize with the abundance of meta-data elements in MARC and the simplicity of DCMI. For serial holding information, the newly proposed standards such as ANSI/NSIO Z39.50 are adequate to grasp the varieties of serial holding patterns. It should be able to differentiate the level of description by means of the types of serial information services. As the current computing technology generally uses XML for the representation and Process of information, the meta-data system for serials should be based on XML.

• The Journal of Bigdata
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• v.5 no.1
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• pp.77-88
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• 2020

Recently, many researches habe been done to organize and analyze various complex relationships in real world, represented in the form of graphs. In particular, the computer field literature data system, such as DBLP, is a representative graph data in which can be composed of papers, their authors, and citation among papers. Becasue graph data is very complex in storage structure and expression, it is very difficult task to search, analysis, and visualize a large size of bibliographic big data. In this paper, we develop a graphic user interface tool, called EEUM, which visualizes bibliographic big data in the form of graphs. EEUM provides the features to browse bibliographic big data according to the connected graph structure by visually displaying graph data, and implements search, management and analysis of the bibliographc big data. It also shows that EEUM can be conveniently used to search, explore, and analyze by applying EEUM to the bibliographic graph big data provided by DBLP. Through EEUM, you can easily find influential authors or papers in every research fields, and conveniently use it as a search and analysis tool for complex bibliographc big data, such as giving you a glimpse of all the relationships between several authors and papers.

• Journal of Information Science Theory and Practice
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• v.3 no.4
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• pp.62-77
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• 2015

This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the components of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institutional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment.

• Journal of the Korean Society for Library and Information Science
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• v.4
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• pp.1-26
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• 1975

The present study is a literature survey aimed at . providing a means to improve the bibliographic apparatuses for Korean studies. The need for a study like this has proven urgent with the promotion of Korean studies both within and without in recent years. The study examines the social science literature on Korea produced in English between 1876 and 1945(A study is under way for literature since 1945 also). Selection of the titles for investigation was made on the basis of the relative importance of the works confirmed after reading book reviews and examining a variety of bibliographies. Each title selected was examined in terms of its subject matter, contribution to the discipline it belongs, references cited, relations with similar works in the field, and bibliographic features. Published books, dissertations both published or not published, and periodicals are included. Primarily a critical review it is also designed to provide background information on the present status of Korean studies and the historical development of Western studies on Korea. Special attenttion is given to the factors contributing to the foundations of the modern Western scholarchip on Korea in the late 19th century.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.27-39
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• 2008

In bibliographic data, the use of personal names to indicate authors makes it difficult to specify a particular author since there are numerous authors whose personal names are the same. Resolving same-name author instances into different individuals is called author resolution, which consists of two steps: calculating author similarities and then clustering same-name author instances into different person groups. Author similarities are computed from similarities of author-related bibliographic features such as coauthors, titles of papers, publication information, using supervised or unsupervised methods. Supervised approaches employ machine learning techniques to automatically learn the author similarity function from author-resolved training samples. So far however, a few machine learning methods have been investigated for author resolution. This paper provides a comparative evaluation of a variety of recent high-performing machine learning techniques on author disambiguation, and compares several methods of processing author disambiguation features such as coauthors and titles of papers.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.39-48
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• 2022

Today the regulation of socio-economic development has been the subject of active scientific debate. The modern paradigm of regulatory policy in foreign countries involves a change in the role and strategy of the state, which determines the relevance of this topic. The aim of the article is to study the current state of regulatory policy research. The article is based on a bibliographic analysis of the study of regulatory policy. The study is based on the data search functions of the Scopus platform. It uses a set of VOSviewer program, online visualization of keywords in the titles of scientific journals and citations of publications. The study led to the conclusion that the number of publications that directly study the nature and features of regulatory policy is insignificant, but constantly growing. In our opinion, further research should determine the essence of regulatory policy as a separate category, a description of its features and factors of formation. It is also necessary to develop a common concept that governments should be actively involved in ensuring the quality of regulation, rather than responding to the shortcomings of regulation, which is evolving into regulatory governance.