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Published in:
2014 | OriginalPaper | Chapter
Closed-World Concept Induction for Learning in OWL Knowledge Bases
Authors : David Ratcliffe, Kerry Taylor
Published in: Knowledge Engineering and Knowledge Management
Publisher: Springer International Publishing
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We present a general-purpose method for inducing OWL class descriptions over data and knowledge captured with RDF and OWL in a closed-world way. We combine our approach with a top-down refinement-based search with Description Logic (DL) expressions which incorporates OWL background knowledge. Our methods are designed for speed and scalability to support analysis tasks like data mining over large knowledge-rich data sets. We compare our methods to a state-of-the-art DL learning tool with respect to a large benchmark problem to demonstrate the speed and effectiveness of our approach.