Claudia d'Amato

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Nicola FanizziLACAM - Dipartimento di Informatica - Università degli studi di Bari "Aldo Moro"Email confirmado em uniba.it
Floriana EspositoProfessore di Informatica, Università degli Studi "Aldo Moro" Bari ItalyEmail confirmado em uniba.it
Aidan HoganDCC; Universidad de ChileEmail confirmado em dcc.uchile.cl
Thomas LukasiewiczProfessor of Computer Science, University of OxfordEmail confirmado em cs.ox.ac.uk
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DE &Email confirmado em ipvs.uni-stuttgart.de
Gerard de MeloProfessor at Hasso Plattner Institute / University of PotsdamEmail confirmado em hpi.de
Jose Emilio Labra GayoUniversity of OviedoEmail confirmado em uniovi.es
Roberto NavigliProfessor, Sapienza University of RomeEmail confirmado em uniroma1.it
Sebastian NeumaierSt. Pölten University of Applied Sciences, AustriaEmail confirmado em fhstp.ac.at
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Claudio GutierrezComputer Science Department, Universidad de ChileEmail confirmado em dcc.uchile.cl
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Pasquale MinerviniUniversity College LondonEmail confirmado em cs.ucl.ac.uk
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Giuseppe RizzoUniversità degli Studi di BariEmail confirmado em uniba.it
Agnieszka ŁawrynowiczAssociate Professor, Poznan University of TechnologyEmail confirmado em cs.put.poznan.pl
Volker TrespLudwig Maximilian University of Munich / München (LMU) and Siemens AGEmail confirmado em dbs.ifi.lmu.de
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityEmail confirmado em upb.de
Sabrina KirraneVienna University of Economics and BusinessEmail confirmado em wu.ac.at

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Claudia d'Amato

Associate Professor, University of Bari

Email confirmado em uniba.it - Página inicial

Artificial Intelligence Machine Learning Description Logics Semantic Web Knowledge Graph


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Knowledge graphs A Hogan, E Blomqvist, M Cochez, C d'Amato, G Melo, C Gutierrez, ... Synthesis Lectures on Data, Semantics, and Knowledge 12 (2), 1-257, 2021	363	2021
DL-FOIL concept learning in description logics N Fanizzi, C d’Amato, F Esposito International Conference on Inductive Logic Programming, 107-121, 2008	168	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	119	2012
A semantic similarity measure for expressive description logics C d'Amato, N Fanizzi, F Esposito arXiv preprint arXiv:0911.5043, 2009	115	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	111	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	106	2015
Query answering and ontology population: An inductive approach C d’Amato, N Fanizzi, F Esposito European Semantic Web Conference, 288-302, 2008	100	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	87	2020
Tractable reasoning with Bayesian description logics C d’Amato, N Fanizzi, T Lukasiewicz International conference on scalable uncertainty management, 146-159, 2008	86	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	82	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	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	64	2010
Statistical learning for inductive query answering on OWL ontologies N Fanizzi, C d’Amato, F Esposito International Semantic Web Conference, 195-212, 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	46	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	41	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	41	2006
A Declarative Kernel for Concept Descriptions N Fanizzi, C d’Amato International Symposium on Methodologies for Intelligent Systems, 322-331, 2006	37	2006
Concept learning J Lehmann, N Fanizzi, L Bühmann, C d’Amato Perspectives on ontology learning 18, 71-91, 2014	34	2014
Reasoning by Analogy in Description Logics Through Instance-based Learning. C d'Amato, N Fanizzi, F Esposito SWAP, 2006	34	2006
A Similarity Measure for the ALN Description Logic N Fanizzi, C d’Amato	33

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