Claudia d'Amato
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Knowledge graphs
A Hogan, E Blomqvist, M Cochez, C d’Amato, GD Melo, C Gutierrez, ...
ACM Computing Surveys (CSUR) 54 (4), 1-37, 2021
DL-FOIL concept learning in description logics
N Fanizzi, C d’Amato, F Esposito
International Conference on Inductive Logic Programming, 107-121, 2008
Mining the semantic web
A Rettinger, U Lösch, 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 Management …, 2008
The data mining optimization ontology
CM Keet, A Ławrynowicz, C d’Amato, A Kalousis, P Nguyen, R Palma, ...
Journal of web semantics 32, 43-53, 2015
Query answering and ontology population: An inductive approach
C d’Amato, N Fanizzi, F Esposito
European Semantic Web Conference, 288-302, 2008
Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann
A Hogan, E Blomqvist, M Cochez, C d’Amato, G De Melo, C Gutierrez, ...
Knowledge graphs 3, 2020
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
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
Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases
C d'Amato, S Staab, AGB Tettamanzi, TD Minh, F Gandon
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 333-338, 2016
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 in …, 2010
Classification of symbolic objects: A lazy learning approach
A Appice, C d'Amato, F Esposito, D Malerba
Intelligent Data Analysis 10 (4), 301-324, 2006
A Declarative Kernel for Concept Descriptions
N Fanizzi, C d’Amato
International Symposium on Methodologies for Intelligent Systems, 322-331, 2006
Concept learning
J Lehmann, N Fanizzi, L Bühmann, C d’Amato
Perspectives on ontology learning 18, 71-91, 2014
Reasoning by Analogy in Description Logics Through Instance-based Learning.
C d'Amato, N Fanizzi, F Esposito
SWAP, 2006
A Similarity Measure for the ALN Description Logic
N Fanizzi, C d’Amato
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