Deriving Dynamics of Web Pages: A Survey
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.
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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 » |