@inproceedings{1aa3db698e814756b5851d4eb84195b0,
title = "Closed-world concept induction for learning in OWL knowledge bases",
abstract = "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.",
keywords = "Concept induction, DL, Data mining, Machine learning, OWL, RDF",
author = "David Ratcliffe and Kerry Taylor",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014 ; Conference date: 24-11-2014 Through 28-11-2014",
year = "2014",
doi = "10.1007/978-3-319-13704-9\_33",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "429--440",
editor = "Krzysztof Janowicz and Stefan Schlobach and Patrick Lambrix and Eero Hyv{\"o}nen",
booktitle = "Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings",
address = "Germany",
}