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Discovery of Concept Entities from Web Sites using Web Unit Mining.

Yin M, Goh D, Lim E, Sun A ...see all

IJWIS, vol. 1, issue 3 (2005) pp. 123-135

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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

  • Ming Yin

  • Dion Hoe-Lian Goh

  • Ee-Peng Lim

  • Aixin Sun

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