由於網際網路的快速成長，全球資訊網成為了大多數人獲取資訊的來源管道之一，藉由搜尋引擎的幫助，使用者可以快速的找到所需要的資訊，但在之前的研究中顯示，沒有任何一個單一的搜尋引擎可以搜尋到網路中所有網頁的16％，也因此而有了整合式搜尋引擎（Meta-Search engine）的發展，它利用單一的查詢介面，將使用者所輸入的查詢詞，同時傳送到數個不同的搜尋引擎，一起進行查詢的動作，之後並將查詢結果加以彙整過濾呈現給使用者；但整合式搜尋架構普遍存在著擴充不易的問題，這是由於HTML語言所造成的限制，因此本論文提出了一個運用XML及XSL的整合式搜尋引擎架構，將檢索後取得的結果利用XSL 樣板轉換，使資料本體與展示部分分離，減少資料擷取時的困難，跟以往的整合式搜尋引擎相比較，提供了較佳的可擴充性。 Because of the growing up of the internet, the WWW become one of the sources that most people obtain information. By the help of the search engine, user can find out the information quickly. The former research shows that none of a search engines can search 16% of the whole web pages of internet, so that’s the reason why scholar proposed Meta-Search engine. It uses the single query interface to send user’s query to several search engines, then it presents the overall retrieval results to the user, but it has the problem with extension. This is due to the restrictions of HTML language. So this thesis proposes a Meta-Search engine structure that applies XML and XSL. Translate the retrieval result with XSL template and make the data and the presentation separately in order to reduce the difficulty of the data retrieval. Compare with the former Meta-Search engine, it provides better extension.
