DocumentCode :
2118912
Title :
Research of a Traffic Advisory System Based on Deep Web
Author :
Wang, Zhuo ; Hu, Ran ; Hu, Jun
Author_Institution :
Software Sch., NanChang Univ., Nanchang
fYear :
2009
fDate :
27-28 Feb. 2009
Firstpage :
537
Lastpage :
540
Abstract :
This paper presents the architecture of a traffic advisory system based on the Deep Web. It automatically generates the meaning enquiries by the mechanism of Deep Web crawler, according to the query conditions filled in by the user. Then it will automatically find and download the relevant pages. The system more intuitively and easily display the information for users based on the theoretical framework.
Keywords :
query processing; search engines; Deep Web crawler; Web query condition; traffic advisory system; Aggregates; Cities and towns; Communication system software; Crawlers; Databases; Educational institutions; Internet; Ontologies; Rail transportation; Telecommunication traffic; Deep Web; Traffic Advisory System; crawler; knowledge repository;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
Type :
conf
DOI :
10.1109/ICCSN.2009.64
Filename :
5076909
Link To Document :
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