• Journal of the Korean Society for Library and Information Science
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• 제40권2호
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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 Korean Medical classics
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• 제25권4호
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• pp.105-113
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• 2012

Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

• Journal of Korean Library and Information Science Society
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• 제10권
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• pp.27-58
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• 1983

The purpose of this study is to clarify the educational literature search methodology objectives and the content structure of a course in bibliography. The content of this study can be summarized as follows: 1. The concept and domain of literature search methodology, which has traditionally gone by the name of a guide to use of literature and library, are described. 2. The need of incorporating the methodology into regular college curriculum was investigated in view of the ideology of college education. 3. The background, process, and current status of offering a course in the methodology as a part of regular college curriculum were examined. 4. The educational objective of a course in the methodology was set at the successful activities in self study, life-long-education, and special topic research. 5. Considering the fact that technical knowledge and propositional knowledge should be realized simultaneously, that educational experience should go hand in hand with materials and library, and that knowledge should be constructed systematically and logically, the content structure of the methodology were divided into the following six categories: a) the significance of the methodology of literature search b) the college library and the activities of literature search c) types and characteristics of materials d) literature search by catalog e) explanation of basic bibliography f) research and literature search

• Journal of Korean Society of Archives and Records Management
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• 제23권1호
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• pp.81-99
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• 2023

Archival appraisal is a key area of archival science. This study aims to identify the knowledge structure of archival appraisal and propose appropriate translation terms. To this end, 34 entry terms related to archival appraisal were first extracted from 146 entries in the Encyclopedia of Archival Science, a leading encyclopedia in the field, and terminologies were categorized based on content analysis. Second, the contents described in the entries were assessed for each category, and the main concepts and flow of discussions were also examined. Third and last, suitable translations for each entry term were presented, and considerations were suggested for the translations, such as the application of appropriate principles of equivalence. Specifically, terms such as "records appraisal" and "archival appraisal" were recommended to be used separately.

• ETRI Journal
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• 제40권6호
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• pp.745-758
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• 2018

A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

• Journal of the Korea Society of Computer and Information
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• 제20권2호
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• pp.169-180
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• 2015

This study looked into these companies and organizations that were working with the knowledge management system in order to verify how practically such introduction of the knowledge management system would affect the organizational performances. The purpose of this study is to present the strategic guidelines should to consider the introduction of the knowledge management system operated by the organization to analyze how factors affect the performance of the introduction of knowledge management systems are organized in empirical. According to the results, the sub-variables of the management factors such as learning organization, evaluation and reward system, organizational trust and knowledge-sharing activity had all the significant effects on the organizational performance, and of the sub-variables of the information technology factors, the information technology-based structure presented statistically significant results which confirmed that the structure itself also had an influence on the organizational performance. However, the study learned that both the information technology maturity and the system structural excellence had nothing to do with the organizational performance.

• Journal of the Korean Society for information Management
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• 제15권3호
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• pp.133-150
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• 1998

For the purpose of new‘organizational knowledge centric knowledge management’, this paper proposes the knowledge creating organizational memory which shows the knowledge creation in organization according to the dialectical circulation between the domain knowledge and the task knowledge, based on the Yin Yang theory. This paper defines two kinds of organizational knowledge such as the domain knowledge and task knowledge and designs them in the pursuit of its lifecycle. Knowledge creating organizational memory is designed to three knowledge components that circulate through the domain knowledge and the task knowledge according to the object-oriented methodology. Organizational knowledge is designed into the graphical structure of ( i ) knowledge ( ⅱ ) relation between knowledge objects and ( ⅲ ) degree of relation, which receive the legacy of organizational knowledge such as data schema, process model and knowledge base. This design of organizational knowledge can be applied to CBR(Case Based Reasoning), one of knowledge mining tools to create new organizational knowledge.

• Korea journal of population studies
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• 제26권2호
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• pp.175-195
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• 2003

This paper investigates spatial distribution of the knowledge-information occupations by utilizing Geographical Information System(GIS). The knowledge-information occupations, comprised mainly of professionals, engineers and managers, have played a key role in the knowledge-based information society. The uneven development of bureaucratization and informatization among regions have resulted in unequal spatial distribution of the knowledge-information occupations. Analysis of 1995 and 2000 Census shows that these occupations tend to concentrate in some major metropolitan areas, while the other areas show rather traditional occupational structure. This spatial unequality has been also found in the occupational distribution within Seoul. This tendency of spatial concentration in the occupational distribution inherited from the industrial society and is not going to diminish in the knowledge-information society. More aggressive policies to make the most of decentralizing impacts of information and communication technologies should be implemented to counter-balance this tendency.

• Knowledge Management Research
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• 제19권4호
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• pp.77-98
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• 2018

The purpose of this paper is examine the existing relations structure and IT use for collaboration activities on supply chain and their impacts on the performance of supply chain. This study made a design of the research model that was further constructed by integrating the relationship structure, IT exploration, IT exploitation, supply chain collaboration, absorptive capacity, and knowledge creation, efficiency and efficient. The survey data were collected from 378 companies, where firms are facing increased global competitive pressure and heavily utilize SCM to retain their competitive advantages. The authors validated a measurement model with structural equation modelling and tested eight hypotheses. As a result, the absorptive capacity was closely related to trust, IT exploitation and IT exploration, but supply chain collaboration. Examining the effect of supply chain collaboration with two types of absorptive capacity, the authors found positive effect on potential absorptive capacity, but a non-significant effect on realized absorptive capacity. This finding suggests that the improving performance of supply chain not only is related to the relations structure and IT use on supply chain, but also is closely related to the absorptive capacity.

• International conference on construction engineering and project management
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.505-509
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• 2020

Twitter is a useful medium to grasp various damage situations that have occurred in society. However, it is a laborious task to spot damage-related topics according to time in the environment where information is constantly produced. This paper proposes a methodology of constructing a knowledge structure by combining the BERT-based classifier and the community detection techniques to discover the topics underlain in the damage information. The methodology consists of two steps. In the first step, the tweets are classified into the classes that are related to human damage, infrastructure damage, and industrial activity damage by a BERT-based transfer learning approach. In the second step, networks of the words that appear in the damage-related tweets are constructed based on the co-occurrence matrix. The derived networks are partitioned by maximizing the modularity to reveal the hidden topics. Five keywords with high values of degree centrality are selected to interpret the topics. The proposed methodology is validated with the Hurricane Harvey test data.