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Deriving Dynamics of Web Pages: A Survey
Marilena Oita, Pierre Senellart

Deriving Dynamics of Web Pages: A Survey

Author / Organization:
Science & Mathematics Published 2011 Verification Pending

Overview & Synopsis

The World Wide Web is dynamic by nature: content is continuously added, deleted, or changed, which makes it challenging for Web crawlers to keep up-to-date with the current version of a Web page, all the more so since not all apparent changes are significant ones. We review major approaches to change detection in Web pages and extraction of temporal properties (especially, timestamps) of Web pages. We focus our attention on techniques and systems that have been proposed in the last ten years and we analyze them to get some insight into the practical solutions and best practices available. We aim at providing an analytical view of the range of methods that can be used, distinguishing them on several dimensions, especially, their static or dynamic nature, the modeling of Web pages, or, for dynamic methods relying on comparison of successive versions of a page, the similarity metrics used. We advocate for more comprehensive studies of the effectiveness of Web page change detection methods, and finally highlight open issues.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Deriving Dynamics of Web Pages: A Survey
Author / Organization Marilena Oita, Pierre Senellart
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2011
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-218290
Original Source Link Visit Source Page on hal.science »