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EWMF
2003
Springer

Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing

12 years 7 months ago
Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
This paper presents a novel method for extracting information from collections of Web pages across different sites. Our method uses a standard wrapper induction algorithm and exploits named entity information. We introduce the idea of post-processing the extraction results for resolving ambiguous facts and improve the overall extraction performance. Postprocessing involves the exploitation of two additional sources of information: fact transition probabilities, based on a trained bigram model, and confidence probabilities, estimated for each fact by the wrapper induction system. A multiplicative model that is based on the product of those two probabilities is also considered for post-processing. Experiments were conducted on pages describing laptop products, collected from many different sites and in four different languages. The results highlight the effectiveness of our approach.
Georgios Sigletos, Georgios Paliouras, Constantine
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where EWMF
Authors Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michael Hatzopoulos
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