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題名 An evaluation agent system for enhancing wikipedia management
作者 葉玉珠
Lin, C. F.;Yeh, Y. C.;Hung, Y. H.;Chang, R. I.
貢獻者 師培中心
關鍵詞 Wiki;Web 3.0;agent;Knowledge management applications;Maintenance
日期 2014
上傳時間 20-Nov-2014 12:19:44 (UTC+8)
摘要 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.
關聯 International Journal of Computer Trends and Technology, 10(2), 85-91
資料類型 article
DOI http://dx.doi.org/10.14445/22312803/IJCTT-V10P115
dc.contributor 師培中心en_US
dc.creator (作者) 葉玉珠zh_TW
dc.creator (作者) Lin, C. F.;Yeh, Y. C.;Hung, Y. H.;Chang, R. I.en_US
dc.date (日期) 2014en_US
dc.date.accessioned 20-Nov-2014 12:19:44 (UTC+8)-
dc.date.available 20-Nov-2014 12:19:44 (UTC+8)-
dc.date.issued (上傳時間) 20-Nov-2014 12:19:44 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/71600-
dc.description.abstract (摘要) 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.en_US
dc.format.extent 614156 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) International Journal of Computer Trends and Technology, 10(2), 85-91en_US
dc.subject (關鍵詞) Wiki;Web 3.0;agent;Knowledge management applications;Maintenanceen_US
dc.title (題名) An evaluation agent system for enhancing wikipedia managementen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.14445/22312803/IJCTT-V10P115en_US
dc.doi.uri (DOI) http://dx.doi.org/10.14445/22312803/IJCTT-V10P115en_US