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Four Heuristics to Guide Structured Content Crawling

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Show simple item record Umbrich, Jürgen en Harth, Andreas en Hogan, Aidan en Decker, Stefan en 2009-11-27T11:51:09Z en 2009-11-27T11:51:09Z en 2008 en
dc.identifier.citation Jürgen Umbrich, Andreas Harth, Aidan Hogan, Stefan Decker "Four Heuristics to Guide Structured Content Crawling", 8th International Conference on Web Engineering (Short Paper), 2008. en
dc.identifier.uri en
dc.description.abstract Search engines focusing on particular media types face difficulties in discovering suitable URIs on the Web. Since the engines are only interested in a small fraction of the Web, a crawler should use heuristics to concentrate on that fraction. To devise such a heuristic, we postulate four hypotheses based on RFCs and W3C recommendations to find cues for certain content types. Tests on a corpus of 22m files (793GB content size) containing 630m URIs show that for the content types text, image, and application, the recommendations are mostly being followed, while results for audio and video are much less consistent. Our findings and recommendations can be implemented as heuristics for efficient discovery of structured content on the Web on top of existing crawlers. en
dc.format application/pdf en
dc.language.iso en en
dc.subject.lcsh Uniform Resource Identifiers en
dc.subject.lcsh Search engines en
dc.title Four Heuristics to Guide Structured Content Crawling en
dc.type Conference paper en
dc.local.publisherstatement ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder Science Foundation Ireland en

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