Claudia d'Amato

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 40

Top Venues

Publications

Claudia d'Amato, Francesco Benedetti, Nicola Fanizzi
Efficient Explanation of Predictions on DL Knowledge Graphs through Enhanced Similarity Search. Description Logics (2023)
Claudia d'Amato, Louis Mahon, Pierre Monnin, Giorgos Stamou
Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges. TGDK 1 (1) (2023)
Roberto Barile, Claudia d'Amato, Nicola Di Mauro, Stefano Ferilli, Nunzia Lomonte
Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. AI³@AI*IA (2022)
Nicola Fanizzi, Claudia d'Amato
Towards Interpretable Probabilistic Classification Models for Knowledge Graphs. SITIS (2022)
Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi
Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. ILP (2021)
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutiérrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
Knowledge Graphs. ACM Comput. Surv. 54 (4) (2021)
Claudia d'Amato
Mining the Semantic Web with Machine Learning: Main Issues that Need to Be Known. Reasoning Web (2021)
Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi
Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs. ESWC (2021)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi
An unsupervised approach to disjointness learning based on terminological cluster trees. Semantic Web 12 (3) (2021)
Claudia d'Amato, Pierpaolo Masella, Nicola Fanizzi
An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs. WI/IAT (2021)
Claudia d'Amato
Empowering Knowledge Bases: a Machine Learning Perspective. Description Logics (2021)
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda C. M. Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza-Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, María Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR (2020)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato
Class expression induction as concept space exploration: From DL-Foil to DL-Focl. Future Gener. Comput. Syst. 108 (2020)
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutiérrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
Knowledge Graphs. CoRR (2020)
Claudia d'Amato
Machine Learning for the Semantic Web: Lessons learnt and next research directions. Semantic Web 11 (1) (2020)
Duc Minh Tran, Claudia d'Amato, Andrea G. B. Tettamanzi, Binh Thanh Nguyen
Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules. RIVF (2019)
Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam, Omar Alqawasmeh, Claudia d'Amato, Amina Annane, Amr Azzam, Andrew Berezovskyi, Russa Biswas, Mathias Bonduel, Quentin Brabant, Cristina-Iulia Bucur, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li, Sven Lieber, Pasquale Lisena, Tatiana Makhalova, Ludovica Marinucci, Thomas Minier, Benjamin Moreau, Alberto Moya Loustaunau, Durgesh Nandini, Sylwia Ozdowska, Amanda Pacini de Moura, Swati Padhee, Guillermo Palma, Pedro Del Pozo Jimnez, Valentina Presutti, Roberto Reda, Ettore Rizza, Henry Rosales-mndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl
Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR (2019)
Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato
Boosting DL Concept Learners. ESWC (2019)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate classification with web ontologies through evidential terminological trees and forests. Int. J. Approx. Reason. 92 (2018)
Duc Minh Tran, Claudia d'Amato, Binh Thanh Nguyen, Andrea G. B. Tettamanzi
Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web. EuroGP (2018)
Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web 12 (1) (2018)
Claudia d'Amato, Francesco Marcelloni, Rudi Studer
Journal Track Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato, Floriana Esposito
DLFoil: Class Expression Learning Revisited. EKAW (2018)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
A Framework for Tackling Myopia in Concept Learning on the Web of Data. EKAW (2018)
Claudia d'Amato
Machine Learning for the Semantic Web: filling the gaps in Ontology Mining. EGC (2017)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Terminological Cluster Trees for Disjointness Axiom Discovery. ESWC (1) (2017)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Tree-based models for inductive classification on the Web Of Data. J. Web Semant. 45 (2017)
Duc Minh Tran, Claudia d'Amato, Binh Thanh Nguyen, Andrea G. B. Tettamanzi
An evolutionary algorithm for discovering multi-relational association rules in the semantic web. GECCO (2017)
Claudia d'Amato, Andrea G. B. Tettamanzi, Duc Minh Tran
Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. EKAW (2016)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Induction of Terminological Cluster Trees. URSW@ISWC (2016)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. DS (2016)
Claudia d'Amato, Steffen Staab, Andrea G. B. Tettamanzi, Duc Minh Tran, Fabien Gandon
Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases. SAC (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Efficient energy-based embedding models for link prediction in knowledge graphs. J. Intell. Inf. Syst. 47 (1) (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. J. Data Semant. 5 (4) (2016)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Leveraging the schema in latent factor models for knowledge graph completion. SAC (2016)
C. Maria Keet, Agnieszka Lawrynowicz, Claudia d'Amato, Alexandros Kalousis, Phong Nguyen, Raúl Palma, Robert Stevens, Melanie Hilario
The Data Mining OPtimization Ontology. J. Web Semant. 32 (2015)
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. ICMLA (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi
On the Effectiveness of Evidence-Based Terminological Decision Trees. ISMIS (2015)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs. URSW@ISWC (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Inductive Classification Through Evidence-Based Models and Their Ensembles. ESWC (2015)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. EKAW (2014)
C. Maria Keet, Claudia d'Amato, Zubeida Casmod Khan, Agnieszka Lawrynowicz
Exploring Reasoning with the DMOP Ontology. ORE (2014)
Claudia d'Amato, Volha Bryl, Luciano Serafini
Semantic Knowledge Discovery and Data-Driven Logical Reasoning from Heterogeneous Data Sources. URSW (LNCS Vol.) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness. URSW (LNCS Vol.) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Adaptive Knowledge Propagation in Web Ontologies. EKAW (2014)
Claudia d'Amato, Nicola Fanizzi, Marko Grobelnik, Agnieszka Lawrynowicz, Vojtech Svátek
Inductive Reasoning and Machine Learning for the Semantic Web. Semantic Web 5 (1) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
Learning to Propagate Knowledge in Web Ontologies. URSW (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Gaussian Process Model for Knowledge Propagation in Web Ontologies. ICDM (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Graph-Based Regularization for Transductive Class-Membership Prediction. URSW (LNCS Vol.) (2014)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Towards Evidence-Based Terminological Decision Trees. IPMU (1) (2014)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Transductive Inference for Class-Membership Propagation in Web Ontologies. ESWC (2013)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) (2013)
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Assertion Prediction with Ontologies through Evidence Combination. URSW (LNCS Vol.) (2013)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) (2013)
C. Maria Keet, Agnieszka Lawrynowicz, Claudia d'Amato, Melanie Hilario
Modeling Issues, Choices in the Data Mining OPtimization Ontology. OWLED (2013)
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Rank prediction for semantically annotated resources. SAC (2013)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Pasquale Minervini
Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. Int. J. Semantic Comput. 6 (4) (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. ICSC (2012)
Claudia d'Amato, Volha Bryl, Luciano Serafini
Data-Driven Logical Reasoning. URSW (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of robust classifiers for web ontologies through kernel machines. J. Web Semant. 11 (2012)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training. ICSC (2012)
Claudia d'Amato, Volha Bryl, Luciano Serafini
Semantic Knowledge Discovery from Heterogeneous Data Sources. EKAW (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. CILC (2012)
Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
Mining the Semantic Web - Statistical learning for next generation knowledge bases. Data Min. Knowl. Discov. 24 (3) (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. SAC (2012)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
A Graph Regularization Based Approach to Transductive Class-Membership Prediction. URSW (2012)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. 65 (2-3) (2012)
Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Prediction of class and property assertions on OWL ontologies through evidence combination. WIMS (2011)
Nicola Fanizzi, Claudia d'Amato
Learning with Semantic Kernels for Clausal Knowledge Bases. ISMIS (2011)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge. URSW (2011)
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
Recovering uncertain mappings through structural validation and aggregation with the MoTo system. SAC (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Induction of Concepts in Web Ontologies through Terminological Decision Trees. ECML/PKDD (1) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards Learning to Rank in Description Logics. ECAI (2010)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito
Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases. Int. J. Semantic Comput. 4 (4) (2010)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Combining Semantic Web Search with the Power of Inductive Reasoning. SUM (2010)
Claudia d'Amato, Nicola Fanizzi, Agnieszka Lawrynowicz
Categorize by: Deductive Aggregation of Semantic Web Query Results. ESWC (1) (2010)
Thomas Scharrenbach, Claudia d'Amato, Nicola Fanizzi, Rolf Grütter, Bettina Waldvogel, Abraham Bernstein
Default Logics for Plausible Reasoning with Controversial Axioms. URSW (2010)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito
Efficient Resource Retrieval from Semantic Knowledge Bases. ICSC (2010)
Agnieszka Lawrynowicz, Claudia d'Amato, Nicola Fanizzi
A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. KES (3) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Learning to Rank Individuals in Description Logics Using Kernel Perceptrons. RR (2010)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Inductive learning for the Semantic Web: What does it buy? Semantic Web 1 (1-2) (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Towards the induction of terminological decision trees. SAC (2010)
Floriana Esposito, Claudia d'Amato, Nicola Fanizzi
Fuzzy Clustering for Semantic Knowledge Bases. Fundam. Informaticae 99 (2) (2010)
Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Inductive reasoning and semantic web search. SAC (2010)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. Int. J. Semantic Web Inf. Syst. 5 (4) (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Fuzzy Clustering for Categorical Spaces. ISMIS (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification. ESWC (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning. URSW (2009)
Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
Combining Semantic Web Search with the Power of Inductive Reasoning. URSW (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Metric-based stochastic conceptual clustering for ontologies. Inf. Syst. 34 (8) (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz
Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. Web Intelligence (2009)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Semantic Similarity Measure for Expressive Description Logics CoRR (2009)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW (LNCS Vol.) (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
A Note on the Evaluation of Inductive Concept Classification Procedures. SWAP (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases. ICSC (2008)
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
DL-FOIL Concept Learning in Description Logics. ILP (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Distance-Based Classification in OWL Ontologies. KES (2) (2008)
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
Analogical Reasoning in Description Logics. URSW (LNCS Vol.) (2008)
Claudia d'Amato, Steffen Staab, Nicola Fanizzi
On the Influence of Description Logics Ontologies on Conceptual Similarity. EKAW (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claudia d'Amato