| 2025 | JURIX | Automated Creation of a Legal Knowledge Graph Addressing Cases of Violence Against Women. Resource Methodology and Lessons Learned. | Claudia d'Amato, Giuseppe Rubini, Francesco Didio, Donato Francioso, Fatima Zahra Amara, Nicola Fanizzi |
| 2025 | WWW | LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models. | Roberto Barile, Claudia d'Amato, Nicola Fanizzi |
| 2024 | EKAW | Additive Counterfactuals for Explaining Link Predictions on Knowledge Graphs. | Roberto Barile, Claudia d'Amato, Nicola Fanizzi |
| 2021 | ILP | Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. | Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi |
| 2018 | EKAW | A Framework for Tackling Myopia in Concept Learning on the Web of Data. | Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2018 | EKAW | DLFoil: Class Expression Learning Revisited. | Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato, Floriana Esposito |
| 2018 | EUROGP | Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web. | Duc Minh Tran, Claudia d'Amato, Nguyen Thanh Binh, Andrea G. B. Tettamanzi |
| 2018 | WWW | Journal Track Chairs' Welcome & Organization. | Claudia d'Amato, Francesco Marcelloni, Rudi Studer |
| 2017 | GECCO | An evolutionary algorithm for discovering multi-relational association rules in the semantic web. | Duc Minh Tran, Claudia d'Amato, Nguyen Thanh Binh, Andrea G. B. Tettamanzi |
| 2016 | DIS | Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. | Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2016 | EKAW | Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. | Claudia d'Amato, Andrea G. B. Tettamanzi, Duc Minh Tran |
| 2016 | SAC | Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases. | Claudia d'Amato, Steffen Staab, Andrea G. B. Tettamanzi, Duc Minh Tran, Fabien Gandon |
| 2016 | SAC | Leveraging the schema in latent factor models for knowledge graph completion. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2015 | ICMLA | Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. | Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2015 | ISMIS | On the Effectiveness of Evidence-Based Terminological Decision Trees. | Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi |
| 2014 | EKAW | Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. | Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2014 | EKAW | Adaptive Knowledge Propagation in Web Ontologies. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2014 | ICDM | A Gaussian Process Model for Knowledge Propagation in Web Ontologies. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2014 | IPMU | Towards Evidence-Based Terminological Decision Trees. | Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2013 | SAC | Rank prediction for semantically annotated resources. | Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2012 | EKAW | Semantic Knowledge Discovery from Heterogeneous Data Sources. | Claudia d'Amato, Volha Bryl, Luciano Serafini |
| 2012 | SAC | Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi |
| 2011 | ISMIS | Learning with Semantic Kernels for Clausal Knowledge Bases. | Nicola Fanizzi, Claudia d'Amato |
| 2010 | ECAI | Towards Learning to Rank in Description Logics. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2010 | KES | A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. | Agnieszka Lawrynowicz, Claudia d'Amato, Nicola Fanizzi |
| 2010 | SAC | Inductive reasoning and semantic web search. | Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz |
| 2010 | SAC | Recovering uncertain mappings through structural validation and aggregation with the MoTo system. | Floriana Esposito, Nicola Fanizzi, Claudia d'Amato |
| 2010 | SAC | Towards the induction of terminological decision trees. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2009 | ISDA | Inductive Query Answering and Concept Retrieval Exploiting Local Models. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz |
| 2009 | ISMIS | Fuzzy Clustering for Categorical Spaces. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2008 | DEXA | Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2008 | EKAW | On the Influence of Description Logics Ontologies on Conceptual Similarity. | Claudia d'Amato, Steffen Staab, Nicola Fanizzi |
| 2008 | ILP | DL-FOIL Concept Learning in Description Logics. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2008 | ILP | Learning with Kernels in Description Logics. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2008 | ISMIS | A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2008 | KES | Distance-Based Classification in OWL Ontologies. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2008 | KES | Classification and Retrieval through Semantic Kernels. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2007 | CIKM | Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2007 | ILP | Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2007 | KES | Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. | Nicola Fanizzi, Claudia d'Amato |
| 2007 | KES | A Hierarchical Clustering Method for Semantic Knowledge Bases. | Nicola Fanizzi, Claudia d'Amato |
| 2007 | SAC | Instance-based retrieval by analogy. | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2006 | BPM | Modeling, Matching and Ranking Services Based on Constraint Hardness. | Claudia d'Amato, Steffen Staab |
| 2006 | ISMIS | Lazy Learning from Terminological Knowledge Bases. | Claudia d'Amato, Nicola Fanizzi |
| 2006 | ISMIS | A Declarative Kernel for | Nicola Fanizzi, Claudia d'Amato |
| 2006 | SAC | A dissimilarity measure for ALC concept descriptions. | Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |