• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.68-74
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• 2008

Application areas of Knowledge Discovery in Database(KDD) have been expanded to many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not moderate, korean language processing is impossible, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information(KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. KnowledgeMatrix's main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. Matrix generation unit help extract information items which will be analyzed, and calculate occurrence, co-occurrence, proximity of the items. Cluster analysis unit enable matrix data to be clustered by hierarchical or non-hierarchical clustering methods and present tree-type structure of clustered data. Visualization unit offer various methods such as chart, FDP, strategic diagram and PFNet. Data pre-processing unit consists of data import editor, string editor, thesaurus editor, grouping method, field-refining methods and sub-dataset generation methods. KnowledgeMatrix show better performances and offer more various functions than extant systems.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.3
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• pp.55-78
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• 2001

This study examines research themes, the relationship with other disciplines of Library and Information Science in other to analyze general research trends in the field of Library and Information Science. The Methods used for the study is subject analysis of the general articles and citation analysis by correspondence analysis of SPSS. This study was done to apprehend the general research trends of Library and Information Science in result, most researchers have studied on library related information science. in the future research trends is forecasting to computer-related study.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.153-159
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• 2007

With development of the methodology for the selection of future emerging research and technology subject it will reach and the research for the concrete item selection which leads is propelled. It uses scientometrics objective indexes and accomplished information analysis of highly cited paper(HCP) & Clustering from the present paper. Scopus data about under using it accomplishes information analysis of construction traffic fields. It selects emerging research of construction traffic fields, it compares a national for technical trend.

• Review of KIISC
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• v.10 no.1
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• pp.51-62
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• 2000

본 연구의 목적은 취약성을 보안대책의 결핍으로 정의해서 정보보호지표의 개념을 도출한 후에, 정보자산가치에 따라서 가중치를 부여하는 정보자산가치가중치법에 의해서 정보보호지표를 계량화하는 절차를 제시하는 것이다. 이와 같은 정보보호지표에 근거해서 정보보호를 위한 기본적인 보호 대책(관리적, 기술적, 물리적 대책을 포함하는 기본통제)을 구현하고 특정 응용시스템을 위한 특수한 보호 대책을 구현함으로써, 조직 내외의 위협으로부터 안정적이고 신뢰성 있는 정보서비스를 제공할 수 있다.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.103-124
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• 2016

This study aims to investigate the research trends of disaster in Korea through a bibliometric analysis. To do that, it analyzed 772 scholarly articles published from 2002 to 2016, retrieved from KCI (Korean Citation Index) database. For analysis, discipline profiling analysis, journal profiling analysis, and co-word analysis methods were used. The study found that the number of scholarly articles on disaster has increased, especially after Sewol ferry disaster occurred in 2004. The major discipline areas were identified as 'policy sciences/public administration' area, 'engineering' area, 'GIS/telecommunication' area, and 'medical/humanities/social sciences' area. In terms of time series, the proportion of scholarly articles published in 'policy sciences/public administration' area has decreased since 2014 and at the same time, discipline areas have been diversified including law, medical, and journalism.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.333-355
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• 2006

Network generation methods to visualize bibliometric data for examining the intellectual structure of knowledge domains are investigated in some detail. Among the four methods investigated in this study, pathfinder network algorithm is the most effective method in representing local details as well as global intellectual structure. The nearest neighbor graph, although never used in bibliometic analysis, also has some advantages such as its simplicity and clustering ability. The effect of input data preparation process on resulting intellectual structures are examined, and concluded that unlike MDS map with clusters, the network structure could be changed significantly by the differences in data matrix preparation process. The network generation methods investigated in this paper could be alternatives to conventional multivariate analysis methods and could facilitate our research on examining intellectual structure of knowledge domains.

• Journal of the Korean Society for information Management
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• v.5 no.1
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• pp.104-130
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• 1988

The purpose of this study is to grasp the research activities of Korean statisticians and scientific properties of statistics field guantitatively by analyzing its literature with various bibliometric research methods. In this study the productivity of authors arid cited literatures were analyzed.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.215-218
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• 2000

본 연구는 계량서지학적 측정을 통해 국내 문헌정보학자들의 연구동향을 규명하기 위하여, 국제적으로 가장 영향력 있는 사회과학분야 학술지에 대한 대표적인 인용색인 데이터베이스인 SSCI에 게재된 논문을 대상으로 다양한 관점, 즉 저자별, 주제별, 저널별. 출신학교별, 소속대학별, 연도별, 연령별, 핵심전공주제별, 핵심저자별 및 핵심저널별로 분석하였다. 본 연구는 향후 국내 문헌정보학의 국제화 및 이에 따른 연구방향을 제시하는데 유용할 것으로 본다.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.287-304
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• 2016

This paper introduces a new bibliometric measure called Quality Factor, which assesses multiple facets of faculty research performance. The computation of Quality factor is based on a combination of publication count, citation count, h-index, and Impact Factor. In order to analyze the relationship between Quality Factor and other bibliometric measures (publication count, citation count, h-index, g-index, Impact Factor), the study collected publication data of 189 Korean Library and Information Science professors from 2001 to 2014 to produce the rankings of the faculty by each bibliometric measure and computed Spearman's rank correlations between the rankings. The overall results showed Quality Factor to be correlated to citation-driven measures (citation count, h-index, g-index), but the scatterplot as well as rank-interval analysis showed Quality Factor to be distinctive and more discriminating than other measures.