Nicola Fanizzi
Title
Cited by
Cited by
Year
DL-FOIL concept learning in description logics
N Fanizzi, C dAmato, F Esposito
Inductive Logic Programming. ILP 2008 5194, 107-121, 2008
1432008
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
1302007
A semantic similarity measure for expressive description logics
C d'Amato, N Fanizzi, F Esposito
arXiv preprint arXiv:0911.5043, 2009
1062009
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
1052008
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
1032012
Multistrategy theory revision: Induction and abduction in Inthelex
F Esposito, G Semeraro, N Fanizzi, S Ferilli
Machine Learning 38 (1-2), 133-156, 2000
992000
Query answering and ontology population: An inductive approach
C d’Amato, N Fanizzi, F Esposito
European Semantic Web Conference, 288-302, 2008
872008
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
812006
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
812006
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
771997
Tractable reasoning with Bayesian description logics
C d’Amato, N Fanizzi, T Lukasiewicz
International conference on scalable uncertainty management, 146-159, 2008
742008
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
652008
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
622010
Knowledge-intensive induction of terminologies from metadata
F Esposito, N Fanizzi, L Iannone, I Palmisano, G Semeraro
International Semantic Web Conference, 441-455, 2004
622004
Statistical learning for inductive query answering on OWL ontologies
N Fanizzi, C d’Amato, F Esposito
International Semantic Web Conference, 195-212, 2008
482008
Concept formation in expressive description logics
N Fanizzi, L Iannone, I Palmisano, G Semeraro
European Conference on Machine Learning, 99-110, 2004
392004
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
372003
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
362010
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
361998
Reasoning by Analogy in Description Logics Through Instance-based Learning.
C d'Amato, N Fanizzi, F Esposito
SWAP, 2006
352006
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