Nicola Fanizzi
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DL-FOIL concept learning in description logics
N Fanizzi, C dAmato, F Esposito
Inductive Logic Programming. ILP 2008 5194, 107-121, 2008
An algorithm based on counterfactuals for concept learning in the semantic web
L Iannone, I Palmisano, N Fanizzi
Applied Intelligence 26 (2), 139-159, 2007
Mining the semantic web
A Rettinger, U L÷sch, V Tresp, C d’Amato, N Fanizzi
Data Mining and Knowledge Discovery 24 (3), 613-662, 2012
A semantic similarity measure for expressive description logics
C d'Amato, N Fanizzi, F Esposito
arXiv preprint arXiv:0911.5043, 2009
On the influence of description logics ontologies on conceptual similarity
C d’Amato, S Staab, N Fanizzi
International Conference on Knowledge Engineering and Knowledge Managementá…, 2008
Multistrategy theory revision: Induction and abduction in Inthelex
F Esposito, G Semeraro, N Fanizzi, S Ferilli
Machine Learning 38 (1-2), 133-156, 2000
Query answering and ontology population: An inductive approach
C d’Amato, N Fanizzi, F Esposito
European Semantic Web Conference, 288-302, 2008
Tractable reasoning with Bayesian description logics
C d’Amato, N Fanizzi, T Lukasiewicz
International conference on scalable uncertainty management, 146-159, 2008
A dissimilarity measure for ALC concept descriptions
C d'Amato, N Fanizzi, F Esposito
Proceedings of the 2006 ACM symposium on Applied computing, 1695-1699, 2006
Conceptual clustering and its application to concept drift and novelty detection
N Fanizzi, C d’Amato, F Esposito
European Semantic Web Conference, 318-332, 2008
A logic framework for the incremental inductive synthesis of datalog theories
G Semeraro, F Esposito, D Malerba, N Fanizzi, S Ferilli
International Workshop on Logic Programming Synthesis and Transformationá…, 1997
Knowledge-intensive induction of terminologies from metadata
F Esposito, N Fanizzi, L Iannone, I Palmisano, G Semeraro
International Semantic Web Conference, 441-455, 2004
Inductive learning for the semantic web: what does it buy?
C d'Amato, N Fanizzi, F Esposito
Semantic Web 1 (1-2), 53-59, 2010
Statistical learning for inductive query answering on OWL ontologies
N Fanizzi, C d’Amato, F Esposito
International Semantic Web Conference, 195-212, 2008
Incremental multistrategy learning for document processing
F Esposito, S Ferilli, N Fanizzi, TMA Basile, N Di Mauro
Applied Artificial Intelligence 17 (8-9), 859-883, 2003
Adding machine learning and knowledge intensive techniques to a digital library service
F Esposito, D Malerba, G Semeraro, N Fanizzi, S Ferilli
International Journal on Digital Libraries 2 (1), 3-19, 1998
Concept formation in expressive description logics
N Fanizzi, L Iannone, I Palmisano, G Semeraro
European Conference on Machine Learning, 99-110, 2004
Induction of concepts in web ontologies through terminological decision trees
N Fanizzi, C d’Amato, F Esposito
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2010
A Declarative Kernel for ALC Concept Descriptions
N Fanizzi, C d’Amato
Foundations of Intelligent Systems, 322-331, 2006
Concept learning
J Lehmann, N Fanizzi, L BŘhmann, C d’Amato
Perspectives on ontology learning 18, 71-91, 2014
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