隨著網路的興起，網路資訊已成為人們獲得資訊的來源之一，然而，網路的資訊過於繁雜，語意網的出現正是為了解決這個問題。
本體論(Ontology)是語意網最重要的基礎，可以用來描述特定領域(Domain)下的知識。透過本體論使得存在於全球資訊網上的資源能夠明確的被定義，因此不只是人們可以藉由本體論了解並獲得網路上的資源，機器也可以透過本體論的描述，自動地存取或是整合網路上的相關資源。
然而，本體論(Ontology)的建構非常花費時間、精力與專家的配合，因此，半自動建構本體論成為一個重要的課題。
因此本論文提出一個以Formal Concept Analysis加上中文特性的半自動化建置本體論方法，能快速的建構出本體論的概念層及實例層，以達到知識的整合與分享。

With fast development, Internet has become one of the most profound resources for people to search and retrieve information. But, the kinds of information on the Internet are so miscellaneous that people always find it difficult to exactly collect what they really need. To solve the problem, the semantic web is emerging.
Ontology, the most important foundation of the semantic web, is used to describe the knowledge of a specific domain. By using it, the resources on the Internet can be defined explicitly. Via the description of ontology, people can not only understand and access the resources on the Internet, but also make machines access or integrate the resources automatically.
However, construction of ontology is time-consuming and tedious for even cooperative domain experts. Thus, to make construction of ontology automatic becomes an important issue.
In this study a methodology to construct ontology semi-automatically is proposed. By using the Formal Concept Analysis (FCA) algorithm and the specific characteristics of Chinese language, the methodology builds both concept and instance layers of ontology quickly. Experiments have shown promising potential for the methodology in knowledge integrating and sharing.

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