Semantic information integration and question answering based on   pervasive agent ontology

doi:10.1016/j.eswa.2009.01.056

CORC > 北京大学 > 信息科学技术学院

	Semantic information integration and question answering based on pervasive agent ontology
	Guo, Qing-lin ; Zhang, Ming
刊名	expert systems with applications
	2009
关键词	Question answering Pervasive agent ontology Semantic web Natural language understanding Concept extraction Answer extraction MANAGEMENT CONSTRUCTION DOCUMENTS SERVICE SYSTEM
DOI	10.1016/j.eswa.2009.01.056
英文摘要	The traditional search engines return a large number of relative web pages rather than accurate answers. However, in a question answering system, users could use sentences in daily life to raise questions. The question answering system will analyze and comprehend these questions and return answers to users directly. Aiming at the problems in current network environment, such as low precision of question answering, imperfect expression of domain knowledge, low reuse rate and lack of reasonable theory reference models, we put forward the information integration method of semantic web based on pervasive agent ontology (SWPAO) method, which will integrate, analyze and process enormous web information and extract answers on the basis of semantics. With SWPAO method as the clue, we mainly study the method of concept extraction based on uniform semantic term mining, pervasive agent ontology construction method on account of multi-points and the answer extraction in view of semantic inference. Meanwhile, we present the structural model of the question answering system applying ontology, which adopts OWL language to describe domain knowledge base from where it infers and extracts answers by Jena inference engine. thus the precision of question answering in QA system could be improved. In the system testing, the precision has reached 86%, and recalling rate is 93%. The experiment indicates that this method is feasible and it has the significance of reference and Value of further Study for the question answering systems. (C) 2009 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000266086600058&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science; SCI(E); EI; 7; ARTICLE; 6; 10068-10077; 36
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/152845]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Guo, Qing-lin,Zhang, Ming. Semantic information integration and question answering based on pervasive agent ontology[J]. expert systems with applications,2009.
APA	Guo, Qing-lin,&Zhang, Ming.(2009).Semantic information integration and question answering based on pervasive agent ontology.expert systems with applications.
MLA	Guo, Qing-lin,et al."Semantic information integration and question answering based on pervasive agent ontology".expert systems with applications (2009).