In this work we present NERVOUS, an intelligent recommender system exploiting a probabilistic extension of a Description Logic of typicality to dynamically generate novel contents in AllMusic, a comprehensive and in-depth resource about music, providing data about albums, bands, musicians and songs (https://www.allmusic.com ). The tool can be used for both the generation of novel music genres and styles, described by a set of typical properties characterizing them, and the reclassification of the available songs within such new genres.

A Logic-Based Tool for Dynamic Generation and Classification of Musical Content

Lieto A.
;
Pozzato G. L.
;
Valese A.;
2023-01-01

Abstract

In this work we present NERVOUS, an intelligent recommender system exploiting a probabilistic extension of a Description Logic of typicality to dynamically generate novel contents in AllMusic, a comprehensive and in-depth resource about music, providing data about albums, bands, musicians and songs (https://www.allmusic.com ). The tool can be used for both the generation of novel music genres and styles, described by a set of typical properties characterizing them, and the reclassification of the available songs within such new genres.
2023
Inglese
contributo
1 - Conferenza
21st International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022
Udine, Italia
2022
Internazionale
Agostino Dovier, Angelo Montanari, Andrea Orlandini
Agostino Dovier, Angelo Montanari, Andrea Orlandini
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Esperti anonimi
Springer Science and Business Media Deutschland GmbH
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SVIZZERA
13796
313
326
14
978-3-031-27180-9
978-3-031-27181-6
no
3 – prodotto con deroga per i casi previsti dal Regolamento (allegherò il modulo al passo 5-Carica)
4
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
Lieto A.; Pozzato G.L.; Valese A.; Zito M.
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1946211
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