[[alternative]]Automatic Construct Knowledge Map and Document Classification Mechanism Based on Domain Ontology

[[abstract]] 近年來隨著網際網路技術的普及與快速發展，網路上充斥著大量的訊息資料，但伴隨而來的便是使用者難以找尋到符合自己需求的訊息內容並且耗費大量的時間在過濾無效的資訊，徒增檢索資訊時的困擾。現今許多研究都在追求如何適當運用工具搜尋適合的資訊在適當的時間內如何有效運用網路上所提供的訊息內容，因此提供使用者符合期望的資訊內容為現今的一大挑戰。 本研究以領域本體論為基礎結合文字探勘與文件分類技術對網頁文件進行資訊內容的擷取，以使用者查詢內容為導向進行網頁文件探勘擷取相關領域概念內容，運用關聯法則進行自動化建構領域概念圖。藉由自動化產生的領域概念圖來支援文件分類，提升使用者進行文件知識檢索時的效率，提供以查詢內容為核心之領域概念擴展圖，強化使用者對整體概念內容之了解。本研究內容主要著重於國小之輕度障礙學生數學教學領域，期望藉由本研究幫助輕度障礙學生之教師或家長能快速且有系統的進行知識獲取。[[abstract]] In recent years, with the popularity of Internet use, causing the Internet filled with a large number of documents. However, the attendant is difficult to find users to meet their demand for the content of the message and a significant amount of time in filtering the information is invalid, increasing the difficulty of information retrieval. However, it is difficult to find a user with the demand for paper and waste a lot of time to filter invalid information. Today, there are many researches on how to search the right information at the right used the right tools. So how to effectively use the content on the Internet and provide users with the information content of expectations for the present a major challenge. This study proposed a mechanism, using the field of ontology combination of text mining and document classification on the web content of the document capture. By the user enter data to retrieve web information and used association rules to mining related concepts build the field of ontology. By automate construct domain ontology to support the document classification, improve the user retrieval’s efficiency, Provided to a query as the core of the expanded domain ontology, increase user can overall understanding domain knowledge. This study mainly focused on the the mildly disabled students mathematics teaching domain, expectations this study can help the mildly disabled student’s teachers or parents can quickly and conduct a systematic knowledge acquisition