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 Chile; IMFDEmail confirmado em dcc.uchile.cl
Antoine ZimmermannÉcole des mines de Saint-ÉtienneEmail confirmado em emse.fr
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
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DE &Email confirmado em ipvs.uni-stuttgart.de
Sabbir M. RashidRensselaer Polytechnic InstituteEmail confirmado em rpi.edu
Claudio GutierrezComputer Science Department, Universidad de ChileEmail confirmado em dcc.uchile.cl
Thomas LukasiewiczTU Wien, Austria; University of Oxford, UKEmail confirmado em tuwien.ac.at
Anisa Rula (PhD)University of BresciaEmail confirmado em unibs.it
Axel PolleresVienna University of Economics and Business (WU - Wirtschaftsuniversität Wien)Email confirmado em wu.ac.at
Pasquale MinerviniUniversity of Edinburgh, University College London, ELLISEmail confirmado em ed.ac.uk
Giuseppe RizzoUniversità degli Studi di BariEmail confirmado em uniba.it
Agnieszka ŁawrynowiczAssociate Professor, Poznan University of TechnologyEmail confirmado em cs.put.poznan.pl
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
Michael CochezAssistant Professor, Vrije Universiteit AmsterdamEmail confirmado em vu.nl

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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, ... ACM Computing Surveys (CSUR) 54 (4), 1-37, 2021	660	2021
DL-FOIL N Fanizzi, C d’Amato, F Esposito Inductive Logic Programming, 107, 2008	173	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	122	2012
A semantic similarity measure for expressive description logics C d'Amato, N Fanizzi, F Esposito arXiv preprint arXiv:0911.5043, 2009	117	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	113	2015
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	101	2008
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	94	2020
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	65	2010
Statistical Learning for Inductive Query Answering on OWL Ontologies. N Fanizzi, C d'Amato, F Esposito ISWC, 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	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	42	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
A Declarative Kernel for Concept Descriptions N Fanizzi, C d’Amato Foundations of Intelligent Systems: 16th International Symposium, ISMIS 2006 …, 2006	38	2006
Concept learning J Lehmann, N Fanizzi, L Bühmann, C d’Amato Perspectives on ontology learning 18, 71-91, 2014	37	2014
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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