以網路購物為背景的語意化同儕網路知識分享系統

Design and Implementation of Internet Purchasing Knowledge Sharing System Based on Semantic Peer Network

鄭如伶(Ju-ling Cheng)

指導教授 ： 葉慶隆

大同大學/電機資訊學院/資訊工程學系所/碩士(2008年)

摘要

由於現行網路購物資訊不對稱及主從式架構用戶端與伺服端單向資訊消費的情況，本論文設計並實作一個語意化同儕網路知識管理系統，以網路購物為背景知識設計本體論，並加上了三種信任策略以提高知識的可靠度及品質。結果顯示即使分享了20個檔案，系統依然能在0.25秒內完成一個查詢，語意化搜尋的結果更是精確，此外即使與我們交易過的節點中有50%的壞節點，節點可信賴度的計算錯誤比例仍低於35%，檔案評價的計算錯誤比例低於30%。

關鍵字

網路購物 ； 語意網 ； 同儕網路 ； 知識分享

並列摘要

As asymmetric information of current internet purchasing and the client-server model with servo-consumption of information, we design and implement a knowledge management system based on semantic peer network. We use knowledge of internet purchasing to design our ontology, with three general trust mechanisms to enhance the reliability and quality of knowledge. Experimental results show that even we share 20 files, the system can still complete a query within 0.25 seconds, results of semantic search are more accurate, and even if we had transactions of peers with 50% bad peers, the computational error ratio of PeerTrust remains below 35% and the computation error ratio of FileRating remains below 30%.

並列關鍵字

Internet Purchasing ； Semantic Web ； P2P Network ； Knowledge Sharing

參考文獻

[1] Semantic Web, http://www.w3.org/2001/sw/

[3] OWL Web Ontology Language Overview, http://www.w3.org/TR/owl-features/

[5] Dublin Core Metadata Initiative, http://dublincore.org/

[7] Schreiber et al., Knowledge Engineering and Management: The CommonKADS Methodology, 1999.

[8] Extensible Markup Language(XML), http://www.w3.org/XML/