Title :
Research and implementation of automatic question answering system based on ontology
Author :
Xingbo Xie ; Wei Song ; Lizhen Liu ; Chao Du ; Hanshi Wang
Author_Institution :
Inf. & Eng. Coll., Capital Normal Univ., Beijing, China
Abstract :
Aiming at the problems in extant automatic question answering system, such as inadequate knowledge expression and weakness of indicating the inherent relations among knowledge, a solution with using Ontology to build curriculum domain knowledge base was put forward in this paper. In this paper, the course of "Natural Language Processing" was took as an example to construct an automatic question answering system based on Ontology. The system extracts keywords by analyzing users\´ question and transforms the intention of the question into the query of basic elements in Ontology. Finally, the system extracts the answer via Jena reasoning. Meanwhile, the system provides related knowledge to help students study systematically. This paper has achieved an automatic question answering system presented in the course of “Natural Language Processing”. This automatic question answering system supports asking questions in natural language and has some reference value in other areas.
Keywords :
natural language processing; ontologies (artificial intelligence); question answering (information retrieval); Jena reasoning; automatic question answering system; curriculum domain knowledge base; natural language processing; ontology; Cognition; Knowledge based systems; Knowledge discovery; Natural language processing; Ontologies; Semantics; Automatic question-answering; Jena reasoning; domain Ontology; questions analysis;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162131