Web-DL

Many Web IR and Digital Library applications require a crawling process to collect pages with the ultimate goal of taking advantage of useful information available on Web sites. For some of these applications the criteria to determine when a page is to be present in a collection are related to the page content. However, there are situations in which the inner structure of the pages provides a better criteria to guide the crawling process than their content. In this paper, we present a structure-driven approach for generating Web crawlers that requires a minimum effort from users. The idea is to take as input a sample page and an entry point to a Web site and generate a structure-driven crawler based on navigation patterns, sequences of patterns for the links a crawler has to follow to reach the pages structurally similar to the sample page. In the experiments we have carried out, structure-driven crawlers generated by our new approach were able to collect all pages that match the samples given, including those pages added after their generation.

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Web-DL

Cited by 2 publications

References 5 publications

The web-DL environment for building digital libraries from the web

The web-DL environment for building digital libraries from the web

Structure-driven crawler generation by example

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