Claudia d'Amato

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Nicola FanizziLACAM - Dipartimento di Informatica - Università degli studi di Bari "Aldo Moro"Adresse e-mail validée de uniba.it
Floriana EspositoProfessore di Informatica, Università degli Studi "Aldo Moro" Bari ItalyAdresse e-mail validée de uniba.it
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DEAdresse e-mail validée de ki.uni-stuttgart.de
Aidan HoganDCC, Universidad de Chile; IMFDAdresse e-mail validée de dcc.uchile.cl
Axel PolleresVienna University of Economics and Business (WU - Wirtschaftsuniversität Wien)Adresse e-mail validée de wu.ac.at
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityAdresse e-mail validée de upb.de
Gerard de MeloProfessor at Hasso Plattner Institute / University of PotsdamAdresse e-mail validée de hpi.de
Sabbir M. RashidRensselaer Polytechnic InstituteAdresse e-mail validée de rpi.edu
Jose Emilio Labra GayoUniversity of OviedoAdresse e-mail validée de uniovi.es
Roberto NavigliProfessor, Sapienza University of RomeAdresse e-mail validée de uniroma1.it
Sebastian NeumaierSt. Pölten University of Applied Sciences, AustriaAdresse e-mail validée de fhstp.ac.at
Claudio GutierrezComputer Science Department, Universidad de ChileAdresse e-mail validée de dcc.uchile.cl
Antoine ZimmermannÉcole des mines de Saint-ÉtienneAdresse e-mail validée de emse.fr
Juan Sequedadata.worldAdresse e-mail validée de data.world
Anisa Rula (PhD)University of BresciaAdresse e-mail validée de unibs.it
Lukas SchmelzeisenSemanux & University of StuttgartAdresse e-mail validée de ipvs.uni-stuttgart.de
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKAdresse e-mail validée de tuwien.ac.at
Pasquale MinerviniUniversity of Edinburgh, Miniml.AI, ELLIS ScholarAdresse e-mail validée de ed.ac.uk
Sabrina KirraneVienna University of Economics and BusinessAdresse e-mail validée de wu.ac.at
Michael CochezAssistant Professor, Vrije Universiteit AmsterdamAdresse e-mail validée de vu.nl

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Claudia d'Amato

Associate Professor, University of Bari

Adresse e-mail validée de uniba.it - Page d'accueil

Artificial Intelligence Machine Learning Description Logics Semantic Web Knowledge Graph


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Knowledge graphs A Hogan, E Blomqvist, M Cochez, C d’Amato, GD Melo, C Gutierrez, ... ACM Computing Surveys (Csur) 54 (4), 1-37, 2021	1962	2021
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 10, 2020	242	2020
DL-FOIL concept learning in description logics N Fanizzi, C d’Amato, F Esposito Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008	192	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	136	2012
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	132	2015
A semantic similarity measure for expressive description logics C d'Amato, N Fanizzi, F Esposito arXiv preprint arXiv:0911.5043, 2009	121	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	116	2008
Query answering and ontology population: An inductive approach C d’Amato, N Fanizzi, F Esposito European semantic web conference, 288-302, 2008	109	2008
Tractable reasoning with Bayesian description logics C d’Amato, N Fanizzi, T Lukasiewicz Scalable Uncertainty Management: Second International Conference, SUM 2008 …, 2008	93	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	89	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	83	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	69	2010
Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann. 2021 A Hogan, E Blomqvist, M Cochez, C d’Amato, G De Melo, C Gutierrez, ... Knowledge graphs. ACM Comput. Surv 54 (4), 2021	55	2021
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
Machine learning for the semantic web: Lessons learnt and next research directions C d’Amato Semantic Web 11 (1), 195-203, 2020	47	2020
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 Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	46	2010
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	43	2021
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	43	2006
Concept learning J Lehmann, N Fanizzi, L Bühmann, C d’Amato Perspectives on ontology learning 18, 71-91, 2014	41	2014

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