在本論文中我們發展了一套採用多重策略機制的本體論匹配系統，它由三種不同層級策略構成，即元素層級、結構層級，及優化層級等策略。當它開始進行本體論匹配工作時，首先使用適當的基於字串與基於語彙的相似度計算策略來找出初期匹配結果，然後使用優化策略對這些初期匹配結果進行過濾以及合併。由OAEI 2013競賽的結果可看出它的表現已經優於許多知名的本體論匹配系統。

In this paper we developed a multi-strategy ontology matching system which consists of elemental level, structural level, and optimization level strategies. When the above mentioned system starts to match ontologies, it first exploits appropriate string-based and token-based similarity computing strategies to find preliminary aligned results, and then it filters these results and merges them by using the optimization strategies. The results of OAEI 2013 campaign show that it is competitive with other well-known ontology matching systems.