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Entity Extraction from the Web with WebKnox

  • David Urbansky
  • Marius Feldmann
  • James A. Thom
  • Alexander Schill
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 67)

Abstract

This paper describes a system for entity extraction from the web. The system uses three different extraction techniques which are tightly coupled with mechanisms for retrieving entity rich web pages. The main contributions of this paper are a new entity retrieval approach, a comparison of different extraction techniques and a more precise entity extraction algorithm. The presented approach allows to extract domain-independent information from the web requiring only minimal human effort.

Keywords

Information Extraction Web Mining Ontologies 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • David Urbansky
    • 1
  • Marius Feldmann
    • 1
  • James A. Thom
    • 2
  • Alexander Schill
    • 1
  1. 1.University of Technology Dresden 
  2. 2.RMIT 

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