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ORCIDNicola Fanizzi
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- affiliation: University of Bari, Italy
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2020 – today
- 2024
[c123]Roberto Barile
, Claudia d'Amato, Nicola Fanizzi:
Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization. ESWC (1) 2024: 180-198- [i2]Christian Riefolo, Nicola Fanizzi, Claudia d'Amato:
Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs. CoRR abs/2407.07045 (2024) - 2023
- [c122]Claudia d'Amato, Francesco Benedetti, Nicola Fanizzi:
Efficient Explanation of Predictions on DL Knowledge Graphs through Enhanced Similarity Search. Description Logics 2023 - 2022
- [c121]Nicola Fanizzi, Claudia d'Amato:
Towards Interpretable Probabilistic Classification Models for Knowledge Graphs. SITIS 2022: 25-31 - 2021
- [j29]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi:
An unsupervised approach to disjointness learning based on terminological cluster trees. Semantic Web 12(3): 423-447 (2021) - [c120]Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi:
Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs. ESWC 2021: 441-457 - [c119]Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi:
Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. ILP 2021: 1-16 - [c118]Claudia d'Amato, Pierpaolo Masella, Nicola Fanizzi:
An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs. WI/IAT 2021: 170-177 - 2020
- [j28]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: 256-272 (2020)
2010 – 2019
- 2019
- [c117]Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato:
Boosting DL Concept Learners. ESWC 2019: 68-83 - 2018
- [j27]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: 340-362 (2018) - [j26]Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi:
Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web 12(1): 2:1-2:28 (2018) - [c116]Nicola Fanizzi, Giuseppe Rizzo, Claudia d'Amato, Floriana Esposito:
DLFoil: Class Expression Learning Revisited. EKAW 2018: 98-113 - [c115]Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
A Framework for Tackling Myopia in Concept Learning on the Web of Data. EKAW 2018: 338-354 - 2017
- [j25]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Tree-based models for inductive classification on the Web Of Data. J. Web Semant. 45: 1-22 (2017) - [c114]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Terminological Cluster Trees for Disjointness Axiom Discovery. ESWC (1) 2017: 184-201 - 2016
- [j24]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi:
Efficient energy-based embedding models for link prediction in knowledge graphs. J. Intell. Inf. Syst. 47(1): 91-109 (2016) - [j23]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): 229-248 (2016) - [c113]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: 101-117 - [c112]Giuseppe Rizzo, Nicola Fanizzi, Jens Lehmann, Lorenz Bühmann:
Integrating New Refinement Operators in Terminological Decision Trees Learning. EKAW 2016: 511-526 - [c111]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Leveraging the schema in latent factor models for knowledge graph completion. SAC 2016: 327-332 - [c110]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Induction of Terminological Cluster Trees. URSW@ISWC 2016: 49-60 - [e13]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 17, 2016. CEUR Workshop Proceedings 1665, CEUR-WS.org 2016 [contents] - 2015
- [c109]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Inductive Classification Through Evidence-Based Models and Their Ensembles. ESWC 2015: 418-433 - [c108]Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. ICMLA 2015: 162-167 - [c107]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi:
On the Effectiveness of Evidence-Based Terminological Decision Trees. ISMIS 2015: 139-149 - [c106]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: 26-37 - [e12]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool:
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, USA, October 12, 2015. CEUR Workshop Proceedings 1479, CEUR-WS.org 2015 [contents] - 2014
- [j22]Claudia d'Amato, Nicola Fanizzi, Marko Grobelnik, Agnieszka Lawrynowicz, Vojtech Svátek:
Inductive Reasoning and Machine Learning for the Semantic Web. Semantic Web 5(1): 3-4 (2014) - [c105]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Adaptive Knowledge Propagation in Web Ontologies. EKAW 2014: 304-319 - [c104]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases. EKAW 2014: 453-468 - [c103]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A Gaussian Process Model for Knowledge Propagation in Web Ontologies. ICDM 2014: 929-934 - [c102]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Towards Evidence-Based Terminological Decision Trees. IPMU (1) 2014: 36-45 - [c101]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Learning to Propagate Knowledge in Web Ontologies. URSW 2014: 13-24 - [c100]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness. URSW (LNCS Vol.) 2014: 184-201 - [c99]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Graph-Based Regularization for Transductive Class-Membership Prediction. URSW (LNCS Vol.) 2014: 202-218 - [e11]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Tom De Nies, Olaf Hartig, Paul Groth, Stephen Marsh:
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014. CEUR Workshop Proceedings 1259, CEUR-WS.org 2014 [contents] - [e10]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web III - ISWC International Workshops, URSW 2011-2013, Revised Selected Papers. Lecture Notes in Computer Science 8816, Springer 2014, ISBN 978-3-319-13412-3 [contents] - 2013
- [j21]Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [c98]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Transductive Inference for Class-Membership Propagation in Web Ontologies. ESWC 2013: 457-471 - [c97]Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Rank prediction for semantically annotated resources. SAC 2013: 333-338 - [c96]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) 2013: 237-261 - [c95]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Assertion Prediction with Ontologies through Evidence Combination. URSW (LNCS Vol.) 2013: 282-299 - [c94]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz:
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) 2013: 300-314 - [e9]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013. CEUR Workshop Proceedings 1073, CEUR-WS.org 2013 [contents] - [e8]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web II, International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers. Lecture Notes in Computer Science 7123, Springer 2013, ISBN 978-3-642-35974-3 [contents] - 2012
- [j20]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): 83-121 (2012) - [j19]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): 613-662 (2012) - [j18]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): 429-446 (2012) - [j17]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Induction of robust classifiers for web ontologies through kernel machines. J. Web Semant. 11: 1-13 (2012) - [c93]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi:
Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. CILC 2012: 191-205 - [c92]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi:
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. SAC 2012: 378-383 - [c91]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training. ICSC 2012: 277-284 - [c90]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. ICSC 2012: 325-332 - [c89]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi:
A Graph Regularization Based Approach to Transductive Class-Membership Prediction. URSW 2012: 39-50 - [e7]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 900, CEUR-WS.org 2012 [contents] - 2011
- [j16]Nicola Fanizzi:
Concept Induction in Description Logics Using Information-Theoretic Heuristics. Int. J. Semantic Web Inf. Syst. 7(2): 23-44 (2011) - [c88]Nicola Fanizzi, Claudia d'Amato:
Learning with Semantic Kernels for Clausal Knowledge Bases. ISMIS 2011: 250-259 - [c87]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi:
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge. URSW 2011: 63-74 - [c86]Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Prediction of class and property assertions on OWL ontologies through evidence combination. WIMS 2011: 45 - [p2]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. Semantic Services, Interoperability and Web Applications 2011: 322-342 - [e6]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles:
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011. CEUR Workshop Proceedings 778, CEUR-WS.org 2011 [contents] - 2010
- [j15]Floriana Esposito, Claudia d'Amato, Nicola Fanizzi:
Fuzzy Clustering for Semantic Knowledge Bases. Fundam. Informaticae 99(2): 187-205 (2010) - [j14]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): 453-486 (2010) - [j13]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Inductive learning for the Semantic Web: What does it buy? Semantic Web 1(1-2): 53-59 (2010) - [c85]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Towards Learning to Rank in Description Logics. ECAI 2010: 985-986 - [c84]Claudia d'Amato, Nicola Fanizzi, Agnieszka Lawrynowicz:
Categorize by: Deductive Aggregation of Semantic Web Query Results. ESWC (1) 2010: 91-105 - [c83]Agnieszka Lawrynowicz, Claudia d'Amato, Nicola Fanizzi:
A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. KES (3) 2010: 359-368 - [c82]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Induction of Concepts in Web Ontologies through Terminological Decision Trees. ECML/PKDD (1) 2010: 442-457 - [c81]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Learning to Rank Individuals in Description Logics Using Kernel Perceptrons. RR 2010: 173-181 - [c80]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Towards the induction of terminological decision trees. SAC 2010: 1423-1427 - [c79]Floriana Esposito, Nicola Fanizzi, Claudia d'Amato:
Recovering uncertain mappings through structural validation and aggregation with the MoTo system. SAC 2010: 1428-1432 - [c78]Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Inductive reasoning and semantic web search. SAC 2010: 1446-1447 - [c77]Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito:
Efficient Resource Retrieval from Semantic Knowledge Bases. ICSC 2010: 244-251 - [c76]Thomas Scharrenbach, Claudia d'Amato, Nicola Fanizzi, Rolf Grütter, Bettina Waldvogel, Abraham Bernstein:
Default Logics for Plausible Reasoning with Controversial Axioms. URSW 2010: 105-108 - [c75]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Combining Semantic Web Search with the Power of Inductive Reasoning. SUM 2010: 137-150 - [e5]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. CEUR Workshop Proceedings 654, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [j12]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): 19-38 (2009) - [j11]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Metric-based stochastic conceptual clustering for ontologies. Inf. Syst. 34(8): 792-806 (2009) - [c74]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification. ESWC 2009: 323-337 - [c73]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz:
Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA 2009: 1209-1214 - [c72]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Fuzzy Clustering for Categorical Spaces. ISMIS 2009: 161-170 - [c71]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Combining Semantic Web Search with the Power of Inductive Reasoning. URSW 2009: 15-26 - [c70]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning. URSW 2009: 27-38 - [c69]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: 689-692 - [p1]Floriana Esposito, Nicola Fanizzi, Claudia d'Amato:
Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages. Knowledge Discovery Enhanced with Semantic and Social Information 2009: 53-70 - [e4]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009. CEUR Workshop Proceedings 527, CEUR-WS.org 2009 [contents] - [i1]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A Semantic Similarity Measure for Expressive Description Logics. CoRR abs/0911.5043 (2009) - 2008
- [j10]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with Ontologies. Int. J. Semantic Comput. 2(3): 403-423 (2008) - [j9]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics. Int. J. Semantic Web Inf. Syst. 4(3): 44-67 (2008) - [c68]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies. DEXA 2008: 808-821 - [c67]Claudia d'Amato, Steffen Staab, Nicola Fanizzi:
On the Influence of Description Logics Ontologies on Conceptual Similarity. EKAW 2008: 48-63 - [c66]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Query Answering and Ontology Population: An Inductive Approach. ESWC 2008: 288-302 - [c65]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection. ESWC 2008: 318-332 - [c64]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
DL-FOIL Concept Learning in Description Logics. ILP 2008: 107-121 - [c63]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Learning with Kernels in Description Logics. ILP 2008: 210-225 - [c62]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases. ISMIS 2008: 137-142 - [c61]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Classification and Retrieval through Semantic Kernels. KES (3) 2008: 252-259 - [c60]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Distance-Based Classification in OWL Ontologies. KES (2) 2008: 656-661 - [c59]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases. ICSC 2008: 291-298 - [c58]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Statistical Learning for Inductive Query Answering on OWL Ontologies. ISWC 2008: 195-212 - [c57]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW (LNCS Vol.) 2008: 348-365 - [c56]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Thomas Lukasiewicz:
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW 2008 - [c55]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Analogical Reasoning in Description Logics. URSW (LNCS Vol.) 2008: 330-347 - [c54]Claudia d'Amato, Nicola Fanizzi, Thomas Lukasiewicz:
Tractable Reasoning with Bayesian Description Logics. SUM 2008: 146-159 - [c53]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A Note on the Evaluation of Inductive Concept Classification Procedures. SWAP 2008 - [e3]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás:
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008 [contents] - [e2]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008. CEUR Workshop Proceedings 423, CEUR-WS.org 2008 [contents] - [e1]Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Lecture Notes in Computer Science 5327, Springer 2008, ISBN 978-3-540-89764-4 [contents] - 2007
- [j8]Luigi Iannone, Ignazio Palmisano, Nicola Fanizzi:
An algorithm based on counterfactuals for concept learning in the Semantic Web. Appl. Intell. 26(2): 139-159 (2007) - [c52]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Instance-Based Query Answering with Semantic Knowledge Bases. AI*IA 2007: 254-265 - [c51]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
A Hierarchical Clustering Procedure for Semantically Annotated Resources. AI*IA 2007: 266-277 - [c50]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases. CIKM 2007: 51-60 - [c49]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Induction of Optimal Semi-distances for Individuals based on Feature Sets. Description Logics 2007 - [c48]Floriana Esposito, Nicola Fanizzi, Claudia d'Amato:
Conceptual Clustering Applied to Ontologies. MCD 2007: 42-56 - [c47]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases. ILP 2007: 29-38 - [c46]Nicola Fanizzi, Claudia d'Amato:
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. KES (1) 2007: 148-155 - [c45]Nicola Fanizzi, Claudia d'Amato:
A Hierarchical Clustering Method for Semantic Knowledge Bases. KES (3) 2007: 653-660 - [c44]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Instance-based retrieval by analogy. SAC 2007: 1398-1402 - [c43]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Approximate Query Answering and Ranking for Semantic Knowledge Bases. SEBD 2007: 124-135 - [c42]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Evolutionary Conceptual Clustering of Semantically Annotated Resources. ICSC 2007: 783-790 - [c41]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW 2007 - [c40]Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito:
Efficient Discovery of Services Specified in Description Logics Languages. SMRR 2007 - [c39]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
Semantic Nearest Neighbor Search in OWL Ontologies. SWAP 2007 - 2006
- [j7]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Multistrategy Operators for Relational Learning and Their Cooperation. Fundam. Informaticae 69(4): 389-409 (2006) - [c38]Nicola Fanizzi, Luigi Iannone, Nicola Di Mauro, Floriana Esposito:
Tractable Feature Generation Through Description Logics with Value and Number Restrictions. IEA/AIE 2006: 629-638 - [c37]Nicola Fanizzi, Claudia d'Amato:
A Declarative Kernel for ALC Concept Descriptions. ISMIS 2006: 322-331 - [c36]Claudia d'Amato, Nicola Fanizzi:
Lazy Learning from Terminological Knowledge Bases. ISMIS 2006: 570-579 - [c35]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A dissimilarity measure for ALC concept descriptions. SAC 2006: 1695-1699 - [c34]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Analogical Reasoning in Description Logics. URSW 2006 - [c33]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
Reasoning by Analogy in Description Logics Through Instance-based Learning. SWAP 2006 - 2005
- [c32]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
A Counterfactual-Based Learning Algorithm for Description Logic. AI*IA 2005: 406-417 - [c31]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A Dissimilarity Measure for the ALC Description Logic. SWAP 2005 - 2004
- [j6]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Incremental learning and concept drift in INTHELEX. Intell. Data Anal. 8(3): 213-237 (2004) - [c30]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Induction and Revision of Terminologies. ECAI 2004: 1007-1008 - [c29]Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Concept Formation in Expressive Description Logics. ECML 2004: 99-110 - [c28]Nicola Fanizzi, Stefano Ferilli, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Downward Refinement in the ALN Description Logic. HIS 2004: 68-73 - [c27]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Knowledge-Intensive Induction of Terminologies from Metadata. ISWC 2004: 441-455 - 2003
- [j5]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Incremental Multistrategy Learning for Document Processing. Appl. Artif. Intell. 17(8-9): 859-883 (2003) - [c26]Nicola Fanizzi, Floriana Esposito, Stefano Ferilli, Giovanni Semeraro:
A Methodology for the Induction of Ontological Knowledge from Semantic Annotations. AI*IA 2003: 65-77 - [c25]Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Spaces of Theories with Ideal Refinement Operators. IJCAI 2003: 527-532 - [c24]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito, Nicola Fanizzi:
An Exhaustive Matching Procedure for the Improvement of Learning Efficiency. ILP 2003: 112-129 - 2002
- [c23]Francesca A. Lisi, Stefano Ferilli, Nicola Fanizzi:
Object Identity as Search Bias for Pattern Spaces. ECAI 2002: 375-379 - [c22]Giovanni Semeraro, Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Multistrategy Learning of Rules for Automated Classification of Cultural Heritage Material. ICADL 2002: 182-193 - [c21]Nicola Fanizzi, Stefano Ferilli:
Minimal Generalizations under OI-Implication. ISMIS 2002: 140-148 - [c20]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Cooperation of Multiple Strategies for Automated Learning in Complex Environments. ISMIS 2002: 574-582 - 2001
- [j4]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro:
A Generalization Model Based on OI-implication for Ideal Theory Refinement. Fundam. Informaticae 47(1-2): 15-33 (2001) - [c19]Stefano Ferilli, Nicola Fanizzi, Giovanni Semeraro:
Learning Logic Models for Automated Text Categorization. AI*IA 2001: 81-86 - [c18]Fabio Abbattista, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops, Giovanni Semeraro:
User Profiling in an Application of Electronic Commerce. AI*IA 2001: 87-98 - [c17]Giovanni Semeraro, Stefano Ferilli, Nicola Fanizzi, Floriana Esposito:
Document Classification and Interpretation through the Inference of Logic-Based Models. ECDL 2001: 59-70 - [c16]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro:
OI-implication: Soundness and Refutation Completeness. IJCAI 2001: 847-852 - [c15]Giovanni Semeraro, Stefano Ferilli, Nicola Fanizzi, Fabio Abbattista:
Learning Interaction Models in a Digital Library Service. User Modeling 2001: 44-53 - 2000
- [j3]Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Multistrategy Theory Revision: Induction and Abduction in INTHELEX. Mach. Learn. 38(1-2): 133-156 (2000) - [c14]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Giovanni Semeraro:
Learning from Parsed Sentences with INTHELEX. CoNLL/LLL 2000: 194-198 - [c13]Giovanni Semeraro, Fabio Abbattista, Nicola Fanizzi, Stefano Ferilli:
Intelligent Information Retrieval in a Digital Library Service. DELOS 2000 - [c12]Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli:
Interaction Profiling in Digital Libraries through Learning Tools. ECDL 2000: 229-238 - [c11]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro:
Ideal Theory Refinement under Object Identity. ICML 2000: 263-270 - [c10]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro:
Refining Logic Theories under OI-Implication. ISMIS 2000: 109-118
1990 – 1999
- 1999
- [j2]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi:
An Adaptive Visual Environment for Digital Libraries. Int. J. Digit. Libr. 2(2-3): 124-143 (1999) - [c9]Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Conceptual Change in Learning Naive Physics: The Computational Model as a Theory Revision Process. AI*IA 1999: 214-225 - [c8]Giovanni Semeraro, Maria Francesca Costabile, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli:
A Learning Server for Inducing User Classification Rules in a Digital Library Service. ISMIS 1999: 208-216 - 1998
- [j1]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. Int. J. Digit. Libr. 2(1): 3-19 (1998) - [c7]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Interacting With IDL: The Adaptive Visual Interface. ECDL 1998: 515-534 - [c6]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Interfacce adattative per WWW: il caso di IDL. SEBD 1998: 289-306 - 1997
- [c5]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops:
IDL: A Prototypical Intelligent Digital Library Service. AI*IA 1997: 447-450 - [c4]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
Machine Learning + On-line Libraries = IDL. ECDL 1997: 195-214 - [c3]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. LOPSTR 1997: 300-321 - 1995
- [c2]Floriana Esposito, Nicola Fanizzi, Donato Malerba, Giovanni Semeraro:
Downward Refinement of Hierarchical Datalog Theories. GULP-PRODE 1995: 148-159 - [c1]Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Donato Malerba:
Revision of Logical Theories. AI*IA 1995: 365-376
Coauthor Index
Paulo C. G. Costa
aka: Paulo Cesar G. da Costa
aka: Paulo Cesar G. da Costa
[c123] [i2] [c122] [c121] [j29] [c120] [c119] [c118] [j28] [c117] [j27] [j26] [c116] [c115] [j25] [c114] [j24] [j23] [c113] [c111] [c110] [e13] [c109] [c108] [c107] [c106] [e12] [j22] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [e11] [e10] [c98] [c97] [c96] [c95] [c94] [e9] [e8] [j20] [j19] [j18] [j17] [c93] [c92] [c91] [c90] [c89] [e7] [c88] [c87] [c86] [p2] [e6] [j15] [j14] [j13] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [e5] [j12] [j11] [c74] [c73] [c72] [c71] [c70] [c69] [p1] [e4] [i1] [j10] [j9] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [e3] [e2] [e1] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c31]
[j27] [c116] [c115] [j25] [c114] [c113] [c111] [c110] [c109] [c108] [c106] [c105] [c104] [c103] [c102] [c100] [c99] [j21] [c98] [c97] [c95] [c94] [j18] [j17] [c91] [c90] [c86] [p2] [j15] [j14] [j13] [c85] [c82] [c81] [c80] [c79] [c78] [c77] [j12] [j11] [c74] [c73] [c72] [c70] [c69] [p1] [i1] [j10] [j9] [c68] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c44] [c43] [c42] [c41] [c40] [c39] [j7] [c38] [c35] [c34] [c33] [c32] [c31] [j6] [c30] [c27] [j5] [c26] [c24] [c22] [c20] [j4] [c17] [c16] [j3] [c14] [c12] [c11] [c10] [j2] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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