Claudia d'Amato

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Nicola FanizziLACAM - Dipartimento di Informatica - Università degli studi di Bari "Aldo Moro"Verified email at uniba.it
Floriana EspositoProfessore di Informatica, Università degli Studi "Aldo Moro" Bari ItalyVerified email at uniba.it
Aidan HoganDCC, Universidad de Chile; IMFDVerified email at dcc.uchile.cl
Antoine ZimmermannÉcole des mines de Saint-ÉtienneVerified email at emse.fr
Gerard de MeloProfessor at Hasso Plattner Institute / University of PotsdamVerified email at hpi.de
Jose Emilio Labra GayoUniversity of OviedoVerified email at uniovi.es
Roberto NavigliProfessor, Sapienza University of RomeVerified email at uniroma1.it
Sebastian NeumaierSt. Pölten University of Applied Sciences, AustriaVerified email at fhstp.ac.at
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DE &Verified email at ipvs.uni-stuttgart.de
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKVerified email at tuwien.ac.at
Sabbir M. RashidRensselaer Polytechnic InstituteVerified email at rpi.edu
Claudio GutierrezComputer Science Department, Universidad de ChileVerified email at dcc.uchile.cl
Anisa Rula (PhD)University of BresciaVerified email at unibs.it
Axel PolleresVienna University of Economics and Business (WU - Wirtschaftsuniversität Wien)Verified email at wu.ac.at
Pasquale MinerviniUniversity of Edinburgh, University College London, ELLISVerified email at ed.ac.uk
Giuseppe RizzoUniversità degli Studi di BariVerified email at uniba.it
Agnieszka ŁawrynowiczAssociate Professor, Poznan University of TechnologyVerified email at cs.put.poznan.pl
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityVerified email at upb.de
Sabrina KirraneVienna University of Economics and BusinessVerified email at wu.ac.at
Michael CochezAssistant Professor, Vrije Universiteit AmsterdamVerified email at vu.nl

Claudia d'Amato

Associate Professor, University of Bari

Verified email at uniba.it - Homepage

Artificial Intelligence Machine Learning Description Logics Semantic Web Knowledge Graph


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Knowledge graphs A Hogan, E Blomqvist, M Cochez, C d’Amato, G Melo, C Gutierrez, ... ACM Computing Surveys (CSUR) 54 (4), 1-37, 2021	746	2021
DL-FOIL N Fanizzi, C d’Amato, F Esposito Inductive Logic Programming, 107, 2008	179	2008
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	125	2012
A semantic similarity measure for expressive description logics C d'Amato, N Fanizzi, F Esposito arXiv preprint arXiv:0911.5043, 2009	119	2009
On the influence of description logics ontologies on conceptual similarity C d’Amato, S Staab, N Fanizzi Knowledge Engineering: Practice and Patterns: 16th International Conference …, 2008	115	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	114	2015
Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, and Antoine Zimmermann A Hogan, E Blomqvist, M Cochez, C d’Amato, G De Melo, C Gutierrez, ... Knowledge graphs. CoRR, abs/2003.02320, 2020	110	2020
Query answering and ontology population: An inductive approach C d’Amato, N Fanizzi, F Esposito The Semantic Web: Research and Applications: 5th European Semantic Web …, 2008	103	2008
Tractable Reasoning with Bayesian Description Logics. C d'Amato, N Fanizzi, T Lukasiewicz SUM 8, 146-159, 2008	87	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	86	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	79	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	66	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	52	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	47	2016
Induction of Concepts in Web Ontologies through Terminological Decision Trees. N Fanizzi, C d'Amato, F Esposito ECML/PKDD (1) 6321, 442-457, 2010	43	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	42	2006
Concept learning J Lehmann, N Fanizzi, L Bühmann, C d’Amato Perspectives on ontology learning 18, 71-91, 2014	38	2014
A Declarative Kernel for Concept Descriptions N Fanizzi, C d’Amato Foundations of Intelligent Systems: 16th International Symposium, ISMIS 2006 …, 2006	38	2006
Reasoning by Analogy in Description Logics Through Instance-based Learning. C d'Amato, N Fanizzi, F Esposito SWAP, 2006	35	2006
Similarity-based learning methods for the semantic web C d’Amato PhD Thesis, 2007	33	2007

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