自動化的輔助學習以及自我線上學習機制是目前數位化教學環境一個重要的發展目標。近年來，遠距學習中的ＱＡ問答系統時常被拿來探討，研究系統要如何具備有以下特性：1) 瞭解發問者以自然語言形式所提出的問題。2) 提高搜尋答案（文獻）的準確率。3) 建立自動化的學習機制。本研究為遠距學習平台上的英文問答系統，提出一個語意認知的方法，以期有效回答使用者以自然語言所提出的課程相關問題。 本研究使用Link Grammar文法解析器，結合遠距學習環境下課程的Ontology知識本體以及WordNet來建構一個英文語意認知的問答系統。其中，我們使用『資料結構』來做為研究的標的課程，設計了符合我們演算法的Ontology知識本體結構。在英文問句的句法結構上，我們做了一般性的歸納與剖析。最後我們配合上述課程可能會使用到的問句結構作了部分篩選，並且對其中數種問句提出了相應的語意認知演算方法。 Automatic assistant-learning and self-learning mechanism are the primary objective in today’s digital teaching environment. Previous research has focused on the questions-and-answers system of digital leaning field and addressed several aspects of how to possess the following characteristics: (1) Understand questioners’ questions which are in nature language form, (2) Arise the accuracy of searching result, and (3) Establish automatic learning mechanism. In this study we develop the English questions-and-answers system in the distance learning platform and purpose a Semantic-Aware method to answer questions which are in nature language form effectively. This research use Link Grammar and combine Ontology and WordNet to set up the Semantic-Aware questions-and-answers system in distance learning environment. Furthermore, we choose Data Structure as the targeted course and design Ontology structure of Algorithm. This study also generalizes and analyzes the sentence structure of English Interrogative Sentence. Finally, and most important, this research sift the structure from Interrogative Sentence and address several corresponding Semantic-Aware Algorithm.
