Knowledge distribution via shared context between blog-based knowledge management systems: A case study of collaborative tagging |
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| Authors: | Jason J. Jung |
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| Affiliation: | 2. Section of Hospital Medicine, Department of Internal Medicine, University of Chicago, Chicago, Illinois;3. Department of Critical Care Medicine, Hospital for Sick Children, Toronto, Ontario, Canada;4. Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts;5. Department of Medical Education, University of Illinois, Chicago, Illinois;1. Max Planck Institute of Economics, Jena, Germany;2. Department of Economics, University of Bologna, Italy;1. Department of Electronics and Computer Engineering, Hanyang University, Republic of Korea;2. Computer Science Department, Carnegie Mellon University, Pittsburgh, USA;3. School of Business, Yonsei University, Republic of Korea;1. Department of Applied Informatics and Multimedia, Asia University, Taichung 41354, Taiwan, ROC;2. Department of Management Information Systems, National Chung Hsing University, Taichung 40227, Taiwan, ROC |
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| Abstract: | Most of the existing personal knowledge management systems have been employing blogging services which is capable of providing various services (e.g., knowledge distribution and knowledge creation) to people. However, automated knowledge delivering service among the systems is difficult to take into account the corresponding context (or semantics) of the knowledge, so that the service can spread irrelevant information into knowledge management systems. In order to solve this problem, this study proposes a novel architecture, called blog context overlay network, to fulfill context matching between blog-based knowledge management systems. It is referred to as detecting ‘shared’ context between knowledge management systems. Thus, with respect to the contexts, we want to identify a community of practice (CoP) on a knowledge blogosphere where a set of blog-based knowledge management systems are incorporating with each other. As a result, newly generated knowledge can be proactively diffused to the blog-based knowledge management systems of which context is relevant to the knowledge, even before the bloggers’ queries are explicitly asked. |
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