A Redundancy-based Method for Relation Instantiation from the Web
Victor de Boer, Maarten van Someren, Bob J. Wielinga, A Perini, Loris Penserini, Pavlos Peppas · UvA-DARE (University of Amsterdam) · 2006
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, do-main independent techniques to extract candidate relation instances from the Web and exploit the redundancy of infor-mation 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 seed set. In an experiment, we extracted instances of the relation between artists and art styles. The results were manually eval-uated against selected art resources. 1