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http://dx.doi.org/10.13088/jiis.2016.22.4.139

A Study on the Intelligence Information System's Research Identity Using the Keywords Profiling and Co-word Analysis  

Yoon, Seong Jeong (School of Business Administration, Kyunghee University)
Kim, Min Yong (School of Business Administration, Kyunghee University)
Publication Information
Journal of Intelligence and Information Systems / v.22, no.4, 2016 , pp. 139-155 More about this Journal
Abstract
The purpose of this study is to find the research identity of the Korea Intelligent Information Systems Society through the profiling methods and co-word analysis in the most recent three-year('2014~'2016) study to collect keyword. In order to understand the research identity for intelligence information system, we need that the relative position of the study will be to compare identity by collecting keyword and research methodology of The korea Society of Management Information Systems and Korea Association of Information Systems, as well as Korea Intelligent Information Systems Society for the similar. Also, Korea Intelligent Information Systems Society is focusing on the four research areas such as artificial intelligence/data mining, Intelligent Internet, knowledge management and optimization techniques. So, we analyze research trends with a representative journals for the focusing on the four research areas. A journal of the data-related will be investigated with the keyword and research methodology in Korean Society for Big Data Service and the Korean Journal of Big Data. Through this research, we will find to research trends with research keyword in recent years and compare against the study methodology and analysis tools. Finally, it is possible to know the position and orientation of the current research trends in Korea Intelligent Information Systems Society. As a result, this study revealed a study area that Korea Intelligent Information Systems Society only be pursued through a unique reveal its legitimacy and identity. So, this research can suggest future research areas to intelligent information systems specifically. Furthermore, we will predict convergence possibility of the similar research areas and Korea Intelligent Information Systems Society in overall ecosystem perspectives.
Keywords
Profiling Methods; Keyword; Research Identity; Research Expansion; Intelligence System;
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Times Cited By KSCI : 4  (Citation Analysis)
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