Search Results for author: Riccardo Rosati

Found 5 papers, 1 papers with code

Consistent Query Answering for Existential Rules under Tuple-Deletion Semantics

no code implementations11 Jan 2024 Lorenzo Marconi, Riccardo Rosati

We study consistent query answering over knowledge bases expressed by existential rules.

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

1 code implementation17 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.

Scheduling Time Series Classification

CQE in OWL 2 QL: A "Longest Honeymoon" Approach (extended version)

no code implementations22 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.

CQE in Description Logics Through Instance Indistinguishability (extended version)

no code implementations24 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.

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