Towards Rule Learning Approaches to Instance-based Ontology Matching
Frederik W. Janssen, Faraz Fallahi, Jan Noessner, Heiko Paulheim · MADOC (University of Mannheim) · 2012
Abstract. Ontology matching approaches have mostly worked on the schema level so far. With the advent of Linked Open Data and the availability of a massive amount of instance information, instance-based approaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means for ontology matching. 1