Title :
Study of Ontology-Based Intelligent Question Answering Model for Online Learning
Author :
Zhang, Zhengwan ; Liu, Geping
Author_Institution :
Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
Abstract :
Based on analysis of the current situation and the development of the question answering system, this research comprehensively uses the ontology, NLP tools, and semantic web technologies, puts forwards an online learning intelligent answering system model which is based on the ontology theory with the hope that it can realize the semantic query function, increase the intelligence of the answering system and improve the online learning support service level.
Keywords :
intelligent tutoring systems; ontologies (artificial intelligence); query processing; semantic Web; online learning support service level; ontology theory; ontology-based intelligent question answering model; semantic query function; semantic web technologies; Artificial intelligence; Databases; Distance learning; Educational institutions; Information science; Intelligent structures; Learning systems; Ontologies; Portals; Project management;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.1103