對於位在網路上molecular　biology　distributed　databases擁有大量且為異質性資料庫系統,molucular　biologists從其中掘出應研究需求獨特的基因資料並將所需的基因資料傳至使用者端,而資料之間所應被具有意義的聯繫關係並使其支援相異file　format資料與資料間的交互參考性,縮短資料量處理時間和使得使用者端資料的多次可再利用性,依照個別研究自定需求的資料呈現上,我們提供一個具有自動化且整合的機制來解決這些問題,達成由系統幫助使用者收集管理基因資料的目標是我們研究主要的主題.

　This　thesis　discusses　the　issue　of　integration　of　multiple　heterogeneous　databases　storing　molecular　biological　information.　This　integrated　system　is　mainly　used　for　molecular　biologists　to　allow　them　mine　useful　information　from　the　multiple　heterogeneous　databases.　The　issues　that　ought　to　be　resolved　include　the　determination　of　relationships　between　data,conformation　of　heterogeneous　data,　cross-referencing　of　data　in　different　databases,minimization　of　processing　time,etc.　We　propose　in　this　thesis　an　automatic　integration　mechanism　to　resolve　these　problems　so　as　to　achieve　the　goal　of　automatic　collecting,conformaing,and　managing　the　required　information.

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