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#R##N#matching.
['Frederik Janssen', 'Faraz Fallahi', 'Jan Noessner', 'Heiko Paulheim']
Towards Rule Learning Approaches to Instance-based Ontology Matching