A Dissimilarity Measure for the ALC Description Logic. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (SWAP, 2005)

Modeling, Matching and Ranking Services Based on Constraint Hardness. - Claudia d'Amato; Steffen Staab (Business Process Management Workshops, 2006)

A Declarative Kernel for ALC Concept Descriptions. - Nicola Fanizzi; Claudia d'Amato (ISMIS, 2006)

Lazy Learning from Terminological Knowledge Bases. - Claudia d'Amato; Nicola Fanizzi (ISMIS, 2006)

A dissimilarity measure for ALC concept descriptions. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (SAC, 2006)

Analogical Reasoning in Description Logics. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW, 2006)

Reasoning by Analogy in Description Logics Through Instance-based Learning. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (SWAP, 2006)

Classification of symbolic objects: A lazy learning approach. - Annalisa Appice; Claudia d'Amato; Floriana Esposito; Donato Malerba (Intell. Data Anal., 2006)

Instance-Based Query Answering with Semantic Knowledge Bases. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (AI*IA, 2007)

A Hierarchical Clustering Procedure for Semantically Annotated Resources. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (AI*IA, 2007)

Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (CIKM, 2007)

Induction of Optimal Semi-distances for Individuals based on Feature Sets. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Description Logics, 2007)

Conceptual Clustering Applied to Ontologies. - Floriana Esposito; Nicola Fanizzi; Claudia d'Amato (MCD, 2007)

Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ILP, 2007)

Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. - Nicola Fanizzi; Claudia d'Amato (KES (1), 2007)

A Hierarchical Clustering Method for Semantic Knowledge Bases. - Nicola Fanizzi; Claudia d'Amato (KES (3), 2007)

Instance-based retrieval by analogy. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (SAC, 2007)

Approximate Query Answering and Ranking for Semantic Knowledge Bases. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (SEBD, 2007)

Constraint Hardness for Modelling, Matching and Ranking Semantic Web Services. - Claudia d'Amato (SEBD, 2007)

Evolutionary Conceptual Clustering of Semantically Annotated Resources. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ICSC, 2007)

Efficient Discovery of Services Specified in Description Logics Languages. - Claudia d'Amato; Steffen Staab; Nicola Fanizzi; Floriana Esposito (SMRR, 2007)

Semantic Nearest Neighbor Search in OWL Ontologies. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (SWAP, 2007)

Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (DEXA, 2008)

On the Influence of Description Logics Ontologies on Conceptual Similarity. - Claudia d'Amato; Steffen Staab; Nicola Fanizzi (EKAW, 2008)

Conceptual Clustering and Its Application to Concept Drift and Novelty Detection. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ESWC, 2008)

Query Answering and Ontology Population: An Inductive Approach. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC, 2008)

DL-FOIL Concept Learning in Description Logics. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ILP, 2008)

Learning with Kernels in Description Logics. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ILP, 2008)

A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ISMIS, 2008)

Distance-Based Classification in OWL Ontologies. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (KES (2), 2008)

Classification and Retrieval through Semantic Kernels. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (KES (3), 2008)

Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ICSC, 2008)

Statistical Learning for Inductive Query Answering on OWL Ontologies. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ISWC, 2008)

Approximate Measures of Semantic Dissimilarity under Uncertainty. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (URSW (LNCS Vol.), 2008)

Tractable Reasoning with Bayesian Description Logics. - Claudia d'Amato; Nicola Fanizzi; Thomas Lukasiewicz (SUM, 2008)

A Note on the Evaluation of Inductive Concept Classification Procedures. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (SWAP, 2008)

Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with Ontologies. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Int. J. Semantic Comput., 2008)

Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Int. J. Semantic Web Inf. Syst., 2008)

ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ESWC, 2009)

Inductive Query Answering and Concept Retrieval Exploiting Local Models. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (ISDA, 2009)

Fuzzy Clustering for Categorical Spaces. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ISMIS, 2009)

Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (URSW, 2009)

Combining Semantic Web Search with the Power of Inductive Reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (URSW, 2009)

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (Web Intelligence, 2009)

A Semantic Similarity Measure for Expressive Description Logics - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (CoRR, 2009)

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Int. J. Semantic Web Inf. Syst., 2009)

Metric-based stochastic conceptual clustering for ontologies. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Inf. Syst., 2009)

Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages. - Floriana Esposito; Nicola Fanizzi; Claudia d'Amato (Knowledge Discovery Enhanced with Semantic and Social Information, 2009)

Towards Learning to Rank in Description Logics. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ECAI, 2010)

Categorize by: Deductive Aggregation of Semantic Web Query Results. - Claudia d'Amato; Nicola Fanizzi; Agnieszka Lawrynowicz (ESWC (1), 2010)

A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. - Agnieszka Lawrynowicz; Claudia d'Amato; Nicola Fanizzi (KES (3), 2010)

Induction of Concepts in Web Ontologies through Terminological Decision Trees. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ECML/PKDD (1), 2010)

Learning to Rank Individuals in Description Logics Using Kernel Perceptrons. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (RR, 2010)

Recovering uncertain mappings through structural validation and aggregation with the MoTo system. - Floriana Esposito; Nicola Fanizzi; Claudia d'Amato (SAC, 2010)

Towards the induction of terminological decision trees. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (SAC, 2010)

Inductive reasoning and semantic web search. - Claudia d'Amato; Floriana Esposito; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (SAC, 2010)

Efficient Resource Retrieval from Semantic Knowledge Bases. - Claudia d'Amato; Steffen Staab; Nicola Fanizzi; Floriana Esposito (ICSC, 2010)

Default Logics for Plausible Reasoning with Controversial Axioms. - Thomas Scharrenbach; Claudia d'Amato; Nicola Fanizzi; Rolf Grütter; Bettina Waldvogel; Abraham Bernstein (URSW, 2010)

Fuzzy Clustering for Semantic Knowledge Bases. - Floriana Esposito; Claudia d'Amato; Nicola Fanizzi (Fundam. Informaticae, 2010)

Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases. - Claudia d'Amato; Steffen Staab; Nicola Fanizzi; Floriana Esposito (Int. J. Semantic Comput., 2010)

Inductive learning for the Semantic Web: What does it buy? - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (Semantic Web, 2010)

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Semantic Services, Interoperability and Web Applications, 2011)

Learning with Semantic Kernels for Clausal Knowledge Bases. - Nicola Fanizzi; Claudia d'Amato (ISMIS, 2011)

Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi (URSW, 2011)

Prediction of class and property assertions on OWL ontologies through evidence combination. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (WIMS, 2011)

Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi (CILC, 2012)

Semantic Knowledge Discovery from Heterogeneous Data Sources. - Claudia d'Amato; Volha Bryl; Luciano Serafini (EKAW, 2012)

Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi (SAC, 2012)

Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ICSC, 2012)

Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ICSC, 2012)

A Graph Regularization Based Approach to Transductive Class-Membership Prediction. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi (URSW, 2012)

Data-Driven Logical Reasoning. - Claudia d'Amato; Volha Bryl; Luciano Serafini (URSW, 2012)

Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (Ann. Math. Artif. Intell., 2012)

Mining the Semantic Web - Statistical learning for next generation knowledge bases. - Achim Rettinger; Uta Lösch; Volker Tresp; Claudia d'Amato; Nicola Fanizzi (Data Min. Knowl. Discov., 2012)

Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito; Pasquale Minervini (Int. J. Semantic Comput., 2012)

Induction of robust classifiers for web ontologies through kernel machines. - Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (J. Web Semant., 2012)

Transductive Inference for Class-Membership Propagation in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC, 2013)

Modeling Issues, Choices in the Data Mining OPtimization Ontology. - C. Maria Keet; Agnieszka Lawrynowicz; Claudia d'Amato; Melanie Hilario (OWLED, 2013)

Rank prediction for semantically annotated resources. - Pasquale Minervini; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (SAC, 2013)

Assertion Prediction with Ontologies through Evidence Combination. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW (LNCS Vol.), 2013)

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (URSW (LNCS Vol.), 2013)

Semantic Web Search and Inductive Reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (URSW (LNCS Vol.), 2013)

Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (EKAW, 2014)

Adaptive Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (EKAW, 2014)

A Gaussian Process Model for Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ICDM, 2014)

Towards Evidence-Based Terminological Decision Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (IPMU (1), 2014)

Exploring Reasoning with the DMOP Ontology. - C. Maria Keet; Claudia d'Amato; Zubeida Casmod Khan; Agnieszka Lawrynowicz (ORE, 2014)

Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW (LNCS Vol.), 2014)

Graph-Based Regularization for Transductive Class-Membership Prediction. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW (LNCS Vol.), 2014)

Learning to Propagate Knowledge in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Volker Tresp (URSW, 2014)

Semantic Knowledge Discovery and Data-Driven Logical Reasoning from Heterogeneous Data Sources. - Claudia d'Amato; Volha Bryl; Luciano Serafini (URSW (LNCS Vol.), 2014)

Inductive Reasoning and Machine Learning for the Semantic Web. - Claudia d'Amato; Nicola Fanizzi; Marko Grobelnik; Agnieszka Lawrynowicz; Vojtech Svátek (Semantic Web, 2014)

Inductive Classification Through Evidence-Based Models and Their Ensembles. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC, 2015)

Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. - Pasquale Minervini; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (ICMLA, 2015)

On the Effectiveness of Evidence-Based Terminological Decision Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi (ISMIS, 2015)

Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW@ISWC, 2015)

The Data Mining OPtimization Ontology. - C. Maria Keet; Agnieszka Lawrynowicz; Claudia d'Amato; Alexandros Kalousis; Phong Nguyen 002; Raúl Palma; Robert Stevens 001; Melanie Hilario (J. Web Semant., 2015)

Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (DS, 2016)

Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. - Claudia d'Amato; Andrea G. B. Tettamanzi; Duc Minh Tran (EKAW, 2016)

Leveraging the schema in latent factor models for knowledge graph completion. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (SAC, 2016)

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 (SAC, 2016)

Induction of Terminological Cluster Trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (URSW@ISWC, 2016)

Efficient energy-based embedding models for link prediction in knowledge graphs. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi (J. Intell. Inf. Syst., 2016)

Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Volker Tresp (J. Data Semant., 2016)

Terminological Cluster Trees for Disjointness Axiom Discovery. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (ESWC (1), 2017)

Machine Learning for the Semantic Web: filling the gaps in Ontology Mining. - Claudia d'Amato (EGC, 2017)

An evolutionary algorithm for discovering multi-relational association rules in the semantic web. - Duc Minh Tran; Claudia d'Amato; Nguyen Thanh Binh 002; Andrea G. B. Tettamanzi (GECCO, 2017)

Tree-based models for inductive classification on the Web Of Data. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi; Floriana Esposito (J. Web Semant., 2017)

A Framework for Tackling Myopia in Concept Learning on the Web of Data. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (EKAW, 2018)

DLFoil: Class Expression Learning Revisited. - Nicola Fanizzi; Giuseppe Rizzo 001; Claudia d'Amato; Floriana Esposito (EKAW, 2018)

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 002; Andrea G. B. Tettamanzi (EuroGP, 2018)

Journal Track Chairs' Welcome & Organization. - Claudia d'Amato; Francesco Marcelloni; Rudi Studer (WWW (Companion Volume), 2018)

Approximate classification with web ontologies through evidential terminological trees and forests. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato; Floriana Esposito (Int. J. Approx. Reason., 2018)

Adaptive Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Volker Tresp; Claudia d'Amato; Nicola Fanizzi (ACM Trans. Web, 2018)

Boosting DL Concept Learners. - Nicola Fanizzi; Giuseppe Rizzo 001; Claudia d'Amato (ESWC, 2019)

Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules. - Duc Minh Tran; Claudia d'Amato; Andrea G. B. Tettamanzi; Binh Thanh Nguyen (RIVF, 2019)

Linked Open Data Validity - A Technical Report from ISWS 2018. - 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; et al. (CoRR, 2019)

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. - 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; et al. (CoRR, 2020)

Class expression induction as concept space exploration: From DL-Foil to DL-Focl. - Giuseppe Rizzo 001; Nicola Fanizzi; Claudia d'Amato (Future Gener. Comput. Syst., 2020)

Machine Learning for the Semantic Web: Lessons learnt and next research directions. - Claudia d'Amato (Semantic Web, 2020)

Empowering Knowledge Bases: a Machine Learning Perspective. - Claudia d'Amato (Description Logics, 2021)

Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs. - Claudia d'Amato; Nicola Flavio Quatraro; Nicola Fanizzi (ESWC, 2021)

Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. - Claudia d'Amato; Nicola Flavio Quatraro; Nicola Fanizzi (ILP, 2021)

Mining the Semantic Web with Machine Learning: Main Issues that Need to Be Known. - Claudia d'Amato (RW, 2021)

An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs. - Claudia d'Amato; Pierpaolo Masella; Nicola Fanizzi (WI/IAT, 2021)

An unsupervised approach to disjointness learning based on terminological cluster trees. - Giuseppe Rizzo 001; Claudia d'Amato; Nicola Fanizzi (Semantic Web, 2021)

Knowledge Graphs - Aidan Hogan; Eva Blomqvist; Michael Cochez; Claudia d'Amato; Gerard de Melo; Claudio Gutierrez 001; Sabrina Kirrane; José Emilio Labra Gayo; Roberto Navigli; Sebastian Neumaier; Axel-Cyrille Ngonga Ngomo; Axel Polleres; et al. (Morgan & Claypool Publishers, 2021)

Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. - Roberto Barile; Claudia d'Amato; Nicola Di Mauro; Stefano Ferilli; Nunzia Lomonte (AI³@AI*IA, 2022)

Towards Interpretable Probabilistic Classification Models for Knowledge Graphs. - Nicola Fanizzi; Claudia d'Amato (SITIS, 2022)

Knowledge Graphs. - Aidan Hogan; Eva Blomqvist; Michael Cochez; Claudia d'Amato; Gerard de Melo; Claudio Gutierrez 001; Sabrina Kirrane; José Emilio Labra Gayo; Roberto Navigli; Sebastian Neumaier; Axel-Cyrille Ngonga Ngomo; Axel Polleres; et al. (ACM Comput. Surv., 2022)

Efficient Explanation of Predictions on DL Knowledge Graphs through Enhanced Similarity Search. - Claudia d'Amato; Francesco Benedetti; Nicola Fanizzi (Description Logics, 2023)

Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges. - Claudia d'Amato; Louis Mahon; Pierre Monnin; Giorgos Stamou (TGDK, 2023)

Additive Counterfactuals for Explaining Link Predictions on Knowledge Graphs. - Roberto Barile; Claudia d'Amato; Nicola Fanizzi (EKAW, 2024)

Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization. - Roberto Barile; Claudia d'Amato; Nicola Fanizzi (ESWC (1), 2024)

Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs. - Christian Riefolo; Nicola Fanizzi; Claudia d'Amato (CoRR, 2024)

A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers. - George Hannah; Rita Torres Sousa; Ioannis Dasoulas; Claudia d'Amato (CoRR, 2024)

LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models. - Roberto Barile; Claudia d'Amato; Nicola Fanizzi (WWW, 2025)

On the legal implications of Large Language Model answers: A prompt engineering approach and a view beyond by exploiting Knowledge Graphs. - George Hannah; Rita Torres Sousa; Ioannis Dasoulas; Claudia d'Amato (J. Web Semant., 2025)

Linked Linguistic Knowledge Graph. - Eleonora Ghizzota; Pierpaolo Basile; Claudia d'Amato; Nicola Fanizzi (Zenodo, 2025)

Semantic Web and Creative AI - A Technical Report from ISWS 2023. - Raia Abu Ahmad; Reham Alharbi; Roberto Barile; Martin Böckling; Francisco Bolanos; Sara Bonfitto; Oleksandra Bruns; Irene Celino; Yashrajsinh Chudasama; Martin Critelli; Claudia d'Amato; Giada D'Ippolito; et al. (CoRR, 2025)

Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models. - Claudia d'Amato; Ivan Diliso; Nicola Fanizzi; Zafar Saeed (CoRR, 2025)

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned. - Claudia d'Amato; Giuseppe Rubini; Francesco Didio; Donato Francioso; Fatima Zahra Amara; Nicola Fanizzi (CoRR, 2025)

GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs. - Roberto Barile; Claudia d'Amato; Nicola Fanizzi (CoRR, 2025)