You Need Only One Clue for Effective Record Segmentation
Cheng Wang‚ Tim Furche‚ Georg Gottlob‚ Giovanni Grasso‚ Giorgio Orsi and Christian Schallhart
Abstract
Record segmentation is a core problem in data extraction. Previous approaches have focused on more and more sophisticated heuristics without knowledge of the concrete domain. In this work, we demonstrate that with only a single clue about mandatory attributes in a given domain, straightforward rules for record segmentation suffice to achieve 100% precise record extraction from the vast majority of web sites in that domain. These results are first outcomes of the just launched ERC project DIADEM on domain-specific intelligent automated data extraction.
Book Title
Proc. of 1st Intl Conf. on Web Intelligence‚ Mining and Semantics (WIMS)
Note
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Year
2011