document: Data quality in web archiving Web archives preserve the history of Web sites and have high long-term value for media and business analysts . Such archives are maintained by periodically re-crawling entire Web sites of interest . From an archivist 's point of view , the ideal case to ensure highest possible data quality of the archive would be to `` freeze '' the complete contents of an entire Web site during the time span of crawling and capturing the site . Of course , this is practically infeasible . To comply with the politeness specification of a Web site , the crawler needs to pause between subsequent http requests in order to avoid unduly high load on the site 's http server . As a consequence , capturing a large Web site may span hours or even days , which increases the risk that contents collected so far are incoherent with the parts that are still to be crawled . This paper introduces a model for identifying coherent sections of an archive and , thus , measuring the data quality in Web archiving . Additionally , we present a crawling strategy that aims to ensure archive coherence by minimizing the diffusion of Web site captures . Preliminary experiments demonstrate the usefulness of the model and the effectiveness of the strategy .
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