知識經濟時代中，除了資本、設備、土地與自然資源之外，人力資源以及其所擁有的知識與技術成了組織成功發展的重要關鍵，因此知識文件的創造、流通、加值、再創造等過程，也受到了矚目與重視。然而資訊爆炸往往造成了資訊過載的困擾，傳統上關鍵字比對的資訊檢索方式雖然具有簡單以及符合使用者習慣等特性，但是對於領域知識架構不夠清楚的一般使用者而言，很難下達有效的查詢關鍵字進行查詢，且這樣的查詢方式並不能反映出文件所代表的概念。本研究為了解決知識工作者在搜尋知識文件時，此一困擾，提出以本體論的資訊技術，建構整個領域相關知識的概念式知識架構，透過本體論的推理，提供知識工作者知識概念與知識概念之間的關聯性，用以導引使用者構思出有效的查詢關鍵字詞。再者，即使在查詢關鍵字正確的情形之下，依然可能發生所搜尋到與知識概念相關性較低的窘境，因此本研究將針對查詢所得的結果，利用群集化演算法將其予以分群，同時依據各群文件所探討的主題給予一個合適的標題名稱，輔助知識工程師，有效率地過濾掉相關性較低的知識文件，以迅速取得使用者所需的知識。

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