Towards combining machine learning with attribute exploration for ontology refinement
Jędrzej Potoniec, Sebastian Rudolph, Agnieszka Ławrynowicz · International Semantic Web Conference · 2014
We propose a new method for knowledge acquisition and ontology refinement for the Semantic Web utilizing Linked Data available through remote SPARQL endpoints. This method is based on combination of the attribute exploration algorithm from formal concept analysis and the active learning approach from machine learning.