World Wide Web https://doi.org/10.1007/s11280-018-0602-1 1 2 1 Inma Hernandez ´ · Carlos R. Rivero · David Ruiz Received: 22 May 2017 / Revised: 15 May 2018 / Accepted: 25 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Deep Web crawling refers to the problem of traversing the collection of pages in a deep Web site, which are dynamically generated in response to a particular query that is submitted using a search form. To achieve this, crawlers need to be endowed with some features that go beyond merely following links, such as the ability to automatically discover search forms that are entry points to the deep Web, fill in such forms, and follow certain paths to reach the deep Web pages with relevant information. Current surveys that analyse the state of the art in deep Web crawling do not provide a framework that allows comparing the most up-to-date proposals regarding all the different aspects involved in the deep Web crawling process. In this article, we propose a framework that analyses the main features of existing deep Web crawling-related techniques, including the most recent proposals, and provides an overall picture regarding deep Web crawling, including novel
World Wide Web – Springer Journals
Published: Jun 5, 2018
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