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SAINT
2005
IEEE

Learning Logic Wrappers for Information Extraction from the Web

11 years 7 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The methodology is applied to information extraction from real-world HTML page sets that represent product information sheets, an important task in product data integration. The methodology addresses the problems of defining information extraction rules in the form of logic wrappers and mapping the task of learning these rules to general purpose first-order inductive learning.
Costin Badica, Elvira Popescu, Amelia Badica
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where SAINT
Authors Costin Badica, Elvira Popescu, Amelia Badica
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