近年來，語意網 (Semantic Web)技術的提倡，方興未艾。語意網的目標在於讓電腦或軟體代理人 (Software Agent)判讀知識本體 (Ontology)以了解資料所代表的語意。語意網的應用領域甚廣，本文則著重於協助教案之編寫。 編寫教材雖可從網路上搜尋相關的資訊，如現成的教案、能力指標、參考書籍、網路資源等等。然而，這些資源卻分散在網路上的各個角落，必須藉由搜尋引擎來查詢，接著由使用者自行篩選查詢結果，然後個別點選進入，此過程較為缺乏效率。 為了能解決上述的問題，本文開發一個語意搜尋系統(Semantic Searching System)，建構能力指標知識本體，設計操作介面並結合SPARQL(SPARQL Protocol and RDF Query Language)查詢語言，讓教學者能根據主題來尋找相關的教學目標及能力指標，並且能獲得所需要的各類教學資源，增加編寫教案的效率。 In recent years, the Semantic Web is still in its infancy. The aim of Semantic Web is to allow machine or Software Agent to read Ontology for understanding the meaning of data. There is a much wider range of Semantic Web applications. In this thesis, we focus on supporting the compilation of teaching plans. To compile teaching plans, teachers often search relevant information from the Internet, such as visible teaching plans, Competence Indicators (CI), reference books, Web resources, and so on. However, these resources are distributed all over the Internet. It is necessary to use search engine to obtain the information needed, filtering the results, and then enter the Web page by clicking the hyperlink. Obviously, this process is inefficiency. In order to solve the above problems, we develop a Semantic Searching System to contain CI Ontology. The design of operation interface is also combined with the SPARQL query language. Our proposed system provides educators with some teaching aims, CI, and broad teaching references to improve the efficiency of compiling the teaching plans.
