Extracting instances of relations from web documents using redundancy

Authors:
Viktor de Boer;Maarten van Someren;Bob J. Wielinga
Affiliations:
Human-Computer Studies Laboratory, Informatics Institute, Universiteit van Amsterdam;Human-Computer Studies Laboratory, Informatics Institute, Universiteit van Amsterdam;Human-Computer Studies Laboratory, Informatics Institute, Universiteit van Amsterdam
Venue:
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Year:
2006

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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.