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

Language: English

Published by Scholars' Press, 2014

3639712455 / 9783639712452

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9783639712452

Title
Query Selection in Deep Web Crawling : Help your crawler efficiently retrieve data from the largest data sources in the Web
Author
Yan Wang
Publisher
Scholars' Press
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639712455
ISBN 13
9783639712452
Item weight
244 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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