A redundancy-based method for the extraction of relation instances from the Web

Authors:
Viktor de Boer;Maarten van Someren;Bob J. Wielinga
Affiliations:
Informatics Institute, Human-Computer Studies Laboratory, Universiteit van Amsterdam, Kruislaan 419, Matrix 1, 1098 VA Amsterdam, The Netherlands;Informatics Institute, Human-Computer Studies Laboratory, Universiteit van Amsterdam, Kruislaan 419, Matrix 1, 1098 VA Amsterdam, The Netherlands;Informatics Institute, Human-Computer Studies Laboratory, Universiteit van Amsterdam, Kruislaan 419, Matrix 1, 1098 VA Amsterdam, The Netherlands
Venue:
International Journal of Human-Computer Studies
Year:
2007

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Abstract

The Semantic Web requires automatic ontology population methods. We developed an approach, that given existing ontologies, extracts instances of ontology relations, a specific subtask of ontology population. We use generic, domain-independent techniques to extract candidate relation instances from the Web and exploit the redundancy of information on the Web to compensate for loss of precision caused by the use of these generic methods. The candidate relation instances are then ranked based on co-occurrence with a small seed set. In an experiment, we extracted instances of the relation between artists and art styles. The results were manually evaluated against selected art resources. The method was also tested in the football domain. We also compare the performance of our ranking to that of a Google-hit count-based method.