DocumentCode :
3174683
Title :
A Domain-Specific Question Answering System Based on Ontology and Question Templates
Author :
Wang, D.S.
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
151
Lastpage :
156
Abstract :
The rapid growth in the development of Internet-based information systems increases the demand for natural language interfaces that are easy to set up and maintain. Unfortunately, the problem of deep understanding natural language queries is far from being solved. In this paper, an automated question answering system based on domain ontology and question template is proposed, which does not need deep understanding of user´s questions. Ontology was employed to model the interesting domain, and properties of concepts are described by a collection of question templates. The system captures a user´s intention by matching his questions to predefined templates, and return answers corresponding to template´s query focus. The system has been applied to mobile service consulting area, and experimental results show that the system has high practicability as well as maintainability.
Keywords :
Internet; natural language interfaces; ontologies (artificial intelligence); query processing; Internet-based information systems; automated question answering system; domain ontology; domain-specific question answering system; mobile service consulting area; natural language interfaces; natural language query; question template query; Artificial intelligence; Distributed computing; Frequency; Information processing; Information retrieval; Laboratories; Multimedia databases; Natural languages; Ontologies; Software engineering; ontology; question answering system; question template;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-7422-6
Electronic_ISBN :
978-1-4244-7421-9
Type :
conf
DOI :
10.1109/SNPD.2010.31
Filename :
5521517
Link To Document :
بازگشت