DocumentCode :
603365
Title :
Design of an Ontology Based Adaptive Crawler for Hidden Web
Author :
Manvi, M. ; Dixit, Abhishek ; Bhatia, Komal Kumar
Author_Institution :
Dept. of Comput. Eng., YMCA Univ. of Sci. & Technol., Faridabad, India
fYear :
2013
fDate :
6-8 April 2013
Firstpage :
659
Lastpage :
663
Abstract :
Deep Web is content hidden behind HTML forms. Since it represents a large portion of the structured, unstructured and dynamic data on the Web, accessing Deep-Web content has been a long challenge for the database community. This paper describes a crawler for accessing Deep-Web using Ontologies. Performance evaluation of the proposed work showed that this new approach has promising results.
Keywords :
Internet; database management systems; hypermedia markup languages; ontologies (artificial intelligence); HTML forms; adaptive crawler; database community; deep Web; hidden Web; ontology; Crawlers; Databases; Ontologies; Search engines; Uniform resource locators; Web pages; World Wide Web; Crawler; Deepweb; Hiddenweb; Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
Type :
conf
DOI :
10.1109/CSNT.2013.140
Filename :
6524483
Link To Document :
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