1 code implementation • 9 Mar 2024 • Bohui Zhang, Valentina Anita Carriero, Katrin Schreiberhuber, Stefani Tsaneva, Lucía Sánchez González, Jongmo Kim, Jacopo de Berardinis
Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex interactions with ontology designers.
no code implementations • 7 Nov 2023 • Jacopo de Berardinis, Valentina Anita Carriero, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti
The semantic description of music metadata is a key requirement for the creation of music datasets that can be aligned, integrated, and accessed for information retrieval and knowledge discovery.
1 code implementation • 30 Mar 2023 • Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti
The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature.
no code implementations • 18 Mar 2022 • Gabriella Pizzuto, Jacopo de Berardinis, Louis Longley, Hatem Fakhruldeen, Andrew I. Cooper
This can result in researchers spending a significant amount of their time on repetitive tasks, which introduces errors and can prohibit production of statistically relevant data.
no code implementations • 26 Aug 2020 • Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza, Antonio Chella, Jorge Meira, Angelo Cangelosi
From this, we propose how this computational model can be deployed on a service robot to reliably predict customers' coffee bean preferences, starting from the user inputting their coffee preferences to the robot recommending the coffee beans that best meet the user's likings.