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Discovery of concept entities from web sites using web unit mining

by Ming Yin Ming, Dion Hoe-lian Goh, Ee-Peng Lim, Aixin Sun
International Journal of Web Information Systems ()

Abstract

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.

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Authors on Mendeley

  1. Aixin Sun
    Assistant Professor
    Nanyang Technological University

Readership Statistics

4 Readers on Mendeley
by Discipline
 
 
by Academic Status
 
50% Ph.D. Student
 
25% Researcher (at a non-Academic Institution)
 
25% Assistant Professor
by Country
 
25% Republic of Singapore
 
25% Portugal

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