Extracting Instances of Relations from Web Documents Using Redundancy

  • Viktor de Boer
  • Maarten van Someren
  • Bob J. Wielinga
Conference paper

DOI: 10.1007/11762256_20

Volume 4011 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
de Boer V., van Someren M., Wielinga B.J. (2006) Extracting Instances of Relations from Web Documents Using Redundancy. In: Sure Y., Domingue J. (eds) The Semantic Web: Research and Applications. ESWC 2006. Lecture Notes in Computer Science, vol 4011. Springer, Berlin, Heidelberg

Abstract

In this document we describe our approach to a specific subtask of ontology population, the extraction of instances of relations. We present a generic approach with which we are able to extract information from documents on the Web. The method exploits redundancy of information to compensate for loss of precision caused by the use of domain independent extraction methods. In this paper, we present the general approach and describe our implementation for a specific relation instance extraction task in the art domain. For this task, we describe experiments, discuss evaluation measures and present the results.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Viktor de Boer
    • 1
  • Maarten van Someren
    • 1
  • Bob J. Wielinga
    • 1
  1. 1.Human-Computer Studies Laboratory, Informatics InstituteUniversiteit van Amsterdam