- 學位論文
在P2P網路架構下建構所認知的視覺化知識地圖
Building a Visualized Cognitive Knowledge Map on P2P Networks
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摘要
在知識管理的研究與實務領域中，知識地圖已經被廣泛的接受與應用。知識地圖提供了一組索引，讓組織中的知識工作者可以了解組織中知識的分佈與領域專家的所在。Peer-to-Peer(P2P)架構也因其具有獨立與自我管理的特性，而引起此領域學者研究之興趣。在P2P的架構下，知識工作者可以以更符合獨立自主的精神，進行知識的取得與傳播。但因為架構上的差別，例如缺乏集中式的儲存設備與統一的文件格式，傳統Client-Server架構下所發展出的知識地圖技術，並不適宜直接應用在P2P的架構之中。為了幫助個別的Peer可以在P2P環境中進行知識的探索，本研究提出了一套系統－「視覺化認知知識地圖整合系統」。此系統主要的目標在於，第一，有別於傳統的Tree結構，藉由使用SOM-like的類神經模式，提供了視覺化的二維矩形知識圖，第二，藉由本研究所提出的Egocentric SOM (ESOM)，本系統可以保留特定Peer之知識架構，並且對外在的知識進行合併。換言之，本系統可以依照特定Peer 所給定的知識架構來歸納組織中其他Peer之知識。為了分析與驗證所提出的ESOM，本研究收集了工研院－產業經濟與趨勢研究中心所發表的研究報告摘要。並將每位研究員當作一個Peer，由其所撰寫的研究報告摘要中，建立出個別的知識地圖，進行合併測試。結果顯示，本研究所提出的ESOM的確有保存特定Peer知識架構之能力。
並列摘要
Knowledge Map has been widely used in the knowledge management area. Because of the independent and self-organization, Peer-to-Peer (P2P) architecture gets more attention from researchers of this area. However, traditional client-server based knowledge map technology may not suitable for applying to the P2P environment directly. For assisting individual peer to explore the external knowledge in a P2P environment, this study proposes a visualized cognitive knowledge map integration system. By using the SOM-like model, this system can provide a visualized knowledge map; moreover, by using the Egocentric SOM proposed in this study, this system will merge the external knowledge under the a focal peer’s knowledge structure. In order to understand the proposed integration method, we collected abstracts of research reports from the Industrial Economics and Knowledge (IEK) Center at the Industrial Technology Research Institute (ITRI), Taiwan, and assigned these abstracts to different peers according to their authors of abstracts. The results from the evaluation experiments reveal that ESOM is capable to keep the knowledge structure from the original knowledge map.
參考文獻
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