document: Intelligent crawling of web applications for web archiving The steady growth of the World Wide Web raises challenges regarding the preservation of meaningful Web data . Tools used currently by Web archivists blindly crawl and store Web pages found while crawling , disregarding the kind of Web site currently accessed ( which leads to suboptimal crawling strategies ) and whatever structured content is contained in Web pages ( which results in page-level archives whose content is hard to exploit ) . We focus in this PhD work on the crawling and archiving of publicly accessible Web applications , especially those of the social Web . A Web application is any application that uses Web standards such as HTML and HTTP to publish information on the Web , accessible by Web browsers . Examples include Web forums , social networks , geolocation services , etc. . We claim that the best strategy to crawl these applications is to make the Web crawler aware of the kind of application currently processed , allowing it to refine the list of URLs to process , and to annotate the archive with information about the structure of crawled content . We add adaptive characteristics to an archival Web crawler : being able to identify when a Web page belongs to a given Web application and applying the appropriate crawling and content extraction methodology .
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