Towards Rule Learning Approaches to Instance-based Ontology Matching

Frederik Janssen, Faraz Fallahi, Jan Noessner, Heiko Paulheim
2012 Extended Semantic Web Conference  
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.
dblp:conf/esws/JanssenFNP12 fatcat:mftaf3zmfzf57dn77bihykmdxm