Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/71600


Title: An evaluation agent system for enhancing wikipedia management
Authors: 葉玉珠
Lin, C. F.;Yeh, Y. C.;Hung, Y. H.;Chang, R. I.
Contributors: 師培中心
Keywords: Wiki;Web 3.0;agent;Knowledge management applications;Maintenance
Date: 2014
Issue Date: 2014-11-20 12:19:44 (UTC+8)
Abstract: Wikipedia has recently become a popular platform for knowledge sharing and creation. However, the enormously increasing amount of editing has caused management problems with efficiency, accuracy, and convenience for Wikipedia administrators. This study, therefore, aimed to develop an intelligent agent system based on Web 3.0, the evaluation agent system (EAS), to solve these problems. The EAS is characterized by hybrid Web techniques, artificial intelligence, integration of management guidelines, retrieval of real-time information, and the transfer of cross-platform data and includes the following three systems: the testing agent, the wiki agent, and the rule-based expert system (RBES) agent. Because the RBES was central to the EAS, 29 university students were included in the study to examine the effectiveness of the RBES compared to the conventional approach to administration. The findings revealed that the RBES was better than the conventional approach in accuracy, efficiency, operation convenience, and fatigue strength.
Relation: International Journal of Computer Trends and Technology, 10(2), 85-91
Data Type: article
DOI 連結: http://dx.doi.org/10.14445/22312803/IJCTT-V10P115
Appears in Collections:[師資培育中心] 期刊論文

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