本體論的目的在表達一個大家能共用分享的概念，且為知識表達的重要基礎，可用來協助電腦搜尋、交換資訊及了解文字。本體論的應用使網路上的資源都能夠透過電腦明確的被定義出來，使機器透過本體論語言的描述，了解自然語言，加強資料檢索效率並達到知識共享的效果。 本體論建置的困難點主要是有太多不同專業領域的領域本體知識需要被定義，所以非常的耗力費時。為了加強建置效率，需要依賴系統化的方法論來進行建置本體工程，並驗證其品質。 為了使電腦能夠理解人類語言，許多研究者透過文字探勘技術發展能讓電腦理解的電子詞典，經過分析後將詞典中的詞彙連結成語意網絡，並將語意網路將應用於各種不同的研究領域。 因此，本研究嘗試利用文字探勘技術協助建置本體知識，而結論包含可利用文字探勘技術半自動化的協助建置公司治理議題詞庫、語意網路，及以公司治理語意網路作為建置本體知識的基礎，並經由建置方法的提出，將語意網路轉化為公司治理本體知識。 / The purposes of ontology are offering reusable and sharable concepts, and being the base of knowledge representation. It serves a smart way of information searching and exchanging, the resources on internet can easily defined, and computer can understand people’s natural language by the application of ontology, improving the efficiency of data indexing. In order to let computer understand natural language, many researchers have worked hard on electronic lexicons containing computer’s logic through text mining technology, by analyzing lexicons for finding out relative vocabularies and connecting them into a semantic network. Therefore, this research try to utilize text mining technology to support on ontology engineering, the results are developing a text mining technology to support the building of corporate governance’s lexicon and semantic network semi-automatically, and take corporate governance semantic network as the bases of ontology engineering, and introduce a method to turn semantic network into corporate governance ontology.