Semantic Representation and Ontology Construction in the Question Answering System

To build an automatic assistance for learning and provide a self-paced learning mechanism are the objectives in the e-learning environment. The paper improves the previous proposed Semantic Question Answering System which applies Link Grammar and WordNet to form a Semantic Tree to represent the meaning of question and further find the relevant answer based on the selected Data Structure Ontology. The paper addresses the improved functions including the flexible answering method which can refine the Semantic Tree to find more relevant answers, the Ontology Extension Module is designed to acquire data from Internet to raise the ontology and the Feedback for System module is designed for the instructors to provide more sufficient knowledge.