Articles liés à Query Selection in Deep Web Crawling: Help your crawler...

Query Selection in Deep Web Crawling: Help your crawler efficiently retrieve data from the largest data sources in the Web - Couverture souple

Wang, Yan

 
9783639712452: Query Selection in Deep Web Crawling: Help your crawler efficiently retrieve data from the largest data sources in the Web
Couverture souple
ISBN 10 : 3639712455 ISBN 13 : 9783639712452
Editeur : Scholars' Press, 2014

Synopsis

The deep web is the content that is dynamically generated from data sources such as databases or file system. Unlike surface web where web pages are collected by following the hyperlinks embedded inside collected pages, data from a deep web data source is guarded by a search interface and only can be retrieved by queries. The amount of data in deep web exceeds by far that of the surface web. This calls for deep web crawlers to excavate the data so that they can be used, indexed, and searched upon in an integrated environment. Crawling deep web is the process of collecting data from search interfaces by issuing queries. One of the major challenges in crawling deep web is the selection of the queries so that most of the data can be retrieved at a low cost. This work first comprehensively introduces the state-of-art work in query selection techniques for crawling, then in-depth analyzes the remaining problems, such as cold start problem and return limit problem, and finally presents a novel technique to address them.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The deep web is the content that is dynamically generated from data sources such as databases or file system. Unlike surface web where web pages are collected by following the hyperlinks embedded inside collected pages, data from a deep web data source is guarded by a search interface and only can be retrieved by queries. The amount of data in deep web exceeds by far that of the surface web. This calls for deep web crawlers to excavate the data so that they can be used, indexed, and searched upon in an integrated environment. Crawling deep web is the process of collecting data from search interfaces by issuing queries. One of the major challenges in crawling deep web is the selection of the queries so that most of the data can be retrieved at a low cost. This work first comprehensively introduces the state-of-art work in query selection techniques for crawling, then in-depth analyzes the remaining problems, such as cold start problem and return limit problem, and finally presents a novel technique to address them.

Biographie de l'auteur

Yan Wang is an assistant professor of computer science at Central University of Finance and Economics in China. He went on to study computer science at University of Windsor in Canada and received his PhD and Master degrees in 2012 and 2007 respectively. His research interests are in the areas of deep web, online social networks and web analytics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2014
Langue
anglais
ISBN 10 
3639712455
ISBN 13 
9783639712452
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
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