Skip to content

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

by Ming Yin, Dion Hoe-Lian Goh, Ee-Peng Lim, Aixin Sun
Get full text at journal


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.

Cite this document (BETA)

Authors on Mendeley

  1. Aixin Sun
    Associate Professor
    Nanyang Technological University

Readership Statistics

7 Readers on Mendeley
by Discipline
57% Computer Science
14% Business, Management and Accounting
14% Linguistics
by Academic Status
43% Student > Ph. D. Student
14% Professor > Associate Professor
14% Researcher
by Country
29% Portugal
14% India
14% Russia

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in