| 摘要: | 近年來因為網路興起，加快了資訊傳播的速度，顧客經常利用網路上的資訊做為購買商品的參考依據。然而，目前網路購物相關的應用並沒有做一個完整的整合，討論區、虛擬社群、購物網站等各自分散林立，造成顧客在查詢資訊上的不便。雖然也有大型的購物網站將購物、討論、評價等功能整合在一起，但這種整合的範圍只侷限在自己網站本身，而非真正將網路上所有相關的資訊統整在一起。 為了解決上述的問題，我們設計一個以詮釋網路服務(Meta Web Service, MWS)為主要核心，並結合DAML-S/UDDI 匹配器(Matchmaker) 和DAML-S 虛擬機器(Virtual Machine)之整合型購物決策資訊架構(Integrated Shopping Decision Information Framework , ISDIF)。此架構是一個結合網路社群和商品資訊的網路服務架構。它是以提供決策資訊的觀點進行開發，讓顧客在購買商品之前，能夠經由ISDIF取得商品的相關資訊，做為購物的參考依據。 網路服務是以XML(Extensible Markup Language,可延伸標記語言)為基礎的技術，不論我們需要的網路服務架設在何種平台，透過網路服務註冊中心，我們可以搜尋到適當的網路服務並連結和使用它，達到跨平台溝通的好處。而MWS本身也是一種網路服務，但其重點是集中在語意網(Semantic Web)的應用。語意網可以將網上有意義的內容加以結構化，並藉由本體論(Ontology)之建立，更容易取得和分享網路上的相關資源及服務。MWS的功能類似智慧型代理人(Intelligent Agent)，能夠自動發現、自動整合相關網路服務，以滿足使用者的需求。
In recent years, the Web is developing to speed up the dissemination of information. Customers usually make shopping decision by referring to the information from the Web. However, applications like shopping websites, shopping Netnews, and virtual communities on the Web are currently not integrated together very well. It results in inconvenience while customers search the shopping information from the Web. Although some shopping websites combine the functions of shopping, discussion, and evaluation, this kind of integration is only limited to the websites themselves, and it does not integrate all relevant information on the Web. To solve the above problem, we design a system framework to combine Meta Web Service (MWS), DAML-S/UDDI Matchmaker, and DAML-S Virtual Machine to build an Integrated Shopping Decision Information Framework (ISDIF), which is an MWS-based framework to include information from shopping websites and virtual communities. Customers can make a shopping decision by referring to the information from ISDIF. Web Services technology is an XML-based architecture to achieve interoperability and portability. The major focus of MWS is the application of Semantic Web Services, which can organize relevant information on the Web. Also, it will be easier to acquire and share the relevant resources and services on the Web by building Ontology. MWS is like an Intelligent Agent, it can realize automatic discovery and automatic integration to satisfy the users' demand. |
