A Semantic-Aware Methodology Adapt to e-Learning Environment

Abstract

Automatic assistant-learning and self-learning mechanisms 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.