• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.51-54
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• 2013

본 연구는 정보학 분야의 저명한 연구자 T.D.Wilson의 연구주제 분야를 네트워크 분석을 이용하여 해석해보고, 그의 연구는 물론 정보학 분야의 연구주제에 관한 이해를 도모하는 데 연구의 목적이 있다. 이를 위해 그의 저작을 대상으로 서지결합분석 방법을 이용한 군집 분석을 실시하여 연구주제를 나누어 보고 대표적인 연구주제와 논문, 그리고 인용빈도와의 관계를 규명하였다. 패스파인더 네트워크와 노드엑셀을 이용한 분석 결과, 대표적인 연구주제는 정보행위연구이고 논문으로는 "Human information behavior(2000)"로 나타났다. 더불어 '정보요구'라는 핵심 연구주제 아래 정보탐색, 정보관리, 정보이용, 웹정보에 이르는 정보학 분야의 다양한 연구가 이루어졌음을 알 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.343-344
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• 2023

과학기술 문헌을 활용한 계량정보분석에서 학과정보의 활용은 매유 유용하다. 본 논문에서는 한국과학기술인용색인데이터베이스에 등재된 국내 학술지 논문에 출현하는 대학기관 소속 저자의 학과정보를 추출하고 데이터 정제 및 학과유형 분류 처리를 통해 학과정보 데이터셋을 구축하였다. 학과정보 데이터셋을 학습데이터와 검증데이터로 이용하여 딥러닝 기반의 자동분류 모델을 구현하였으며, 모델 성능 평가 결과는 한글 학과정보 기준 98.6%와 영문 학과정보 기준 97.6%의 정확률로 측정되었다. 향후 과학기술 분야별 지적관계 분석 및 논문 주제분류 등에 학과정보 자동분류 처리기의 활용이 기대된다.

• 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.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.

• The Journal of Information Technology
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• v.4 no.3
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• pp.49-64
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• 2001

The purpose of this study was to observe whether the status of a firm's website affects the performance of the other affiliated websites. In other words, whether or not the website could improve its performance from developing high-status affiliation was investigated. The status of a website being affiliated was measured based on the number of citations, and the performance of a website developing affiliation on the number of visitors. The affiliation between websites was defined as banner links. For the analysis, the status of the initiator's website, that might be expected to affect the website performance, was controlled. To achieve the purpose of this study, a field study method was adopted. To obtain the data, an unprecedented method employing a program that gathers all related information concerning a specific website was used. The findings of this study indicated that the website developing high-status affiliation did not significantly improve its performance. Such findings different from previous research may have resulted from different characteristic of affiliation and limited samples available.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.65-100
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• 2014

We tried to find out the technological innovation properties of the National Research and Development Projects (NRDPs) through scientometric analysis of patent data generated by the NRDPs. The distribution of technology groups in patent data shows that NRDPs are highly focused on the Information Technology(IT) group. The Relative Cites Index(RCI) analysis implies that the Biotechnology(BT) group will emerge in the future. The Relative Family Indices(RFIs) are high among the high technological impact groups such as BT and IT. We defined new measures related with technological convergence and collaborativenessopenness relations among R&D agents. Using network analysis techniques, we analysed the absorption-derivation relations among technology groups and the opennesscollaborativeness relations among R&D agents. Recently, both the share of hetero-plural technology groups and the collaboration among different R&D agents are increasing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.107-117
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• 2014

The Purpose of this study was to empirically investigate the effects of core competencies on the management performance of hospitals and the mediating roles of medical service orientation and internal customer orientation. The sample of this study was composed of 307 employees from 18 general hospitals in Incheon Metropolitan City and Bucheon City. Data were collected with self-administered questionnaires and analyzed using structural equation modelling technique. This study found that core competencies had positive effects on the management performance of hospitals and that medical service orientation and internal customer orientation mediated the relationship between core competencies and the management performance of hospitals. The theoretical and practical implications of the results were discussed and the directions for future research were suggested.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.45-69
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• 2022

The purpose of this study is to suggest how to improve the public library service for the disabled, by analyzing stakeholders' needs for it. To this end, it analyzed stakeholders' needs, by conducting an analysis on the current condition of the public library service for the disabled, and IPA on and FGI with the disabled, beneficiaries of the service and service provides, employees in charge of it. The findings show that the current condition of the public library service for the disabled is very poor in terms of disabled users, budget for the service for the disabled and special data for the disabled. For the analysis on the needs for the service for the disabled, the results of IPA suggest that it is necessary to improve relevant policies and manage integrated programs reflecting users' needs, and those of FGI indicate that perceptions on disability need to be improved among the disabled, the non-disabled and employees, and that the usage guidance and publicity are required for disabled users to generally use the public library service.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.63-77
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• 2011

The World Wide Web is a very large distributed digital information space. From its origins in 1991, the web has grown to encompass diverse information resources as personal home pasges, online digital libraries and virtual museums. Some estimates suggest that the web currently includes over 500 billion pages in the deep web. The ability to search and retrieve information from the web efficiently and effectively is an enabling technology for realizing its full potential. With powerful workstations and parallel processing technology, efficiency is not a bottleneck. In fact, some existing search tools sift through gigabyte.syze precompiled web indexes in a fraction of a second. But retrieval effectiveness is a different matter. Current search tools retrieve too many documents, of which only a small fraction are relevant to the user query. Furthermore, the most relevant documents do not nessarily appear at the top of the query output order. Also, current search tools can not retrieve the documents related with retrieved document from gigantic amount of documents. The most important problem for lots of current searching systems is to increase the quality of search. It means to provide related documents or decrease the number of unrelated documents as low as possible in the results of search. For this problem, CiteSeer proposed the ACI (Autonomous Citation Indexing) of the articles on the World Wide Web. A "citation index" indexes the links between articles that researchers make when they cite other articles. Citation indexes are very useful for a number of purposes, including literature search and analysis of the academic literature. For details of this work, references contained in academic articles are used to give credit to previous work in the literature and provide a link between the "citing" and "cited" articles. A citation index indexes the citations that an article makes, linking the articleswith the cited works. Citation indexes were originally designed mainly for information retrieval. The citation links allow navigating the literature in unique ways. Papers can be located independent of language, and words in thetitle, keywords or document. A citation index allows navigation backward in time (the list of cited articles) and forwardin time (which subsequent articles cite the current article?) But CiteSeer can not indexes the links between articles that researchers doesn't make. Because it indexes the links between articles that only researchers make when they cite other articles. Also, CiteSeer is not easy to scalability. Because CiteSeer can not indexes the links between articles that researchers doesn't make. All these problems make us orient for designing more effective search system. This paper shows a method that extracts subject and predicate per each sentence in documents. A document will be changed into the tabular form that extracted predicate checked value of possible subject and object. We make a hierarchical graph of a document using the table and then integrate graphs of documents. The graph of entire documents calculates the area of document as compared with integrated documents. We mark relation among the documents as compared with the area of documents. Also it proposes a method for structural integration of documents that retrieves documents from the graph. It makes that the user can find information easier. We compared the performance of the proposed approaches with lucene search engine using the formulas for ranking. As a result, the F.measure is about 60% and it is better as about 15%.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.05a
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• pp.226-240
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• 2015

The purpose of this study is to establish a proper evaluation system for R&D performance by analyzing relationships between quantitative results of science& technology and national wealth. We analyzed 193,474 research papers in multi-disciplinary fields from SCOPUS database and explored co-relations between HCP production by section and national wealth. This research found a significant relationship between the number of HCP papers and GDP & GDP per capita by nation. Also, results from this study indicate that top 30 to 40 percent of researches should be reflected in the performance evaluation while these numbers could be flexible in accordance with the direction of national policy. In terms of future research, this study provides basis for designing more effective R&D performance evaluation systems.