由於網路資訊量過度膨脹，使用者在傳統關鍵字搜尋資料時會找到大量的資訊，而且排列在前面的資訊不一定是使用者所需的，其原因在於目前搜尋引擎是搜尋標題及內文為主。隨著Web2.0的時代來臨，使用者可以任意將網路資源賦予標籤，本研究使用搜尋標籤的方式並且搭配本體論及關聯法則來提高使用者搜尋的準確率。其研究結果證實本研究之方法能改善搜尋品質，相較傳統關鍵字搜尋，本研究之搜尋結果較符合使用者需求。 As the over-expansion of network information, user finds a lot of information in the traditional keyword search. However, the searching results arranged to the fore are not always correct in user required. It is the reason that the search engine at present is title and text search based. While the Web 2.0 is coming, user can give labels to the network resource. This study uses the way of Tag search with the Ontology and user Association Rules to improve searching Precision. The research result confirms that this method can improve searching quality. Compared with traditional keyword search, the searching results are fitter to user needs.
