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: Statistical learning for next generation knowledge bases
A Rettinger, U Lösch, V Tresp, C d’Amato, N Fanizzi
Data Mining and Knowledge Discovery 24, 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 Management …, 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
Scalable Uncertainty Management: Second International Conference, SUM 2008 …, 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
The Semantic Web: Research and Applications: 5th European Semantic Web …, 2008
A logic framework for the incremental inductive synthesis of datalog theories
G Semeraro, F Esposito, D Malerba, N Fanizzi, S Ferilli
Logic Program Synthesis and Transformation: 7th International Workshop …, 1998
Knowledge-intensive induction of terminologies from metadata
F Esposito, N Fanizzi, L Iannone, I Palmisano, G Semeraro
The Semantic Web–ISWC 2004: Third International Semantic Web Conference …, 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
The Semantic Web-ISWC 2008: 7th International Semantic Web Conference, ISWC …, 2008
Induction of concepts in web ontologies through terminological decision trees
N Fanizzi, C d’Amato, F Esposito
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
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, 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
Concept learning
J Lehmann, N Fanizzi, L Bühmann, C d’Amato
Perspectives on ontology learning 18, 71-91, 2014
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
Injecting background knowledge into embedding models for predictive tasks on knowledge graphs
C d’Amato, NF Quatraro, N Fanizzi
The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021
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