no code implementations • 11 Jan 2024 • Lorenzo Marconi, Riccardo Rosati
We study consistent query answering over knowledge bases expressed by existential rules.
1 code implementation • 17 May 2023 • Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
To fill this gap, we present a predictive model based on a convolutional kernel (MiniROCKET and HYDRA) to extract features from the original event-log data and a linear classifier to classify the sample based on the learned features.
no code implementations • 22 Jul 2022 • Piero Bonatti, Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Luigi Sauro, Domenico Fabio Savo
Controlled Query Evaluation (CQE) has been recently studied in the context of Semantic Web ontologies.
no code implementations • 13 Jun 2022 • Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentile, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database.
no code implementations • 24 Apr 2020 • Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
Finally, we identify a semantically well-founded notion of approximated query answering for CQE, and prove that, for DL-Lite$_{\mathcal{R}}$ ontologies, this form of CQE is tractable with respect to data complexity and is first-order rewritable, i. e., it is always reducible to the evaluation of a first-order query over the data instance.