Semantic Data Mining and Machine Learning in OWL Knowledge Bases

David Ratcliffe (ANU/CSIRO)

ARTIFICIAL INTELLIGENCE SEMINAR PhD Monitoring

DATE: 2013-06-19
TIME: 12:00:00 - 12:30:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
Semantic Web formalisms such as RDF and OWL have experienced significant uptake in recent years. Many scientific domains are now using these formalisms for integrating complex data and knowledge to aid domain experts in data exploration. However, tools for data mining and machine learning directly within these formalisms are currently lacking. Hypotheses generated from data mining or machine learning over collections of data and knowledge in such fields have the potential to help domain experts make new scientific discoveries. To this end, we are developing methods of concept induction in OWL knowledge bases for unsupervised learning, supervised classification and subgroup discovery with Description Logics. We are implementing our methods in a software system called OWL-Miner, a state of the art DL-learning platform. In this talk, I will present our current progress and planned future work.