Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maroua Tikat"'
Incremental and multimodal visualization of discographies: exploring the WASABI music knowledge base
Autor:
Aline Menin, Michel Buffa, Maroua Tikat, Benjamin Molinet, Guillaume Pellerin, Laurent Pottier, Franck Michel, Marco Winckler
Publikováno v:
WAC 2022-Web Audio Conference 2022
WAC 2022-Web Audio Conference 2022, Jul 2022, Cannes, France. ⟨10.5281/zenodo.6767530⟩
WAC 2022-Web Audio Conference 2022, Jul 2022, Cannes, France. ⟨10.5281/zenodo.6767530⟩
International audience; Collaborations between artists is very frequent in music industry and data analysis can help understand the impact of collaborative projects on artists’ careers. In this paper, we propose an incremental and multimodal visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06cb4f0318803a55c8df3033d70d0a75
https://hal.science/hal-03748134
https://hal.science/hal-03748134
Publikováno v:
Lecture Notes in Computer Science
ICWE 2022-22nd International Conference of Web Engineering
ICWE 2022-22nd International Conference of Web Engineering, Jul 2022, Bari, Italy. pp.1-16, ⟨10.1007/978-3-031-09917-5_14⟩
Lecture Notes in Computer Science ISBN: 9783031099168
ICWE 2022-22nd International Conference of Web Engineering
ICWE 2022-22nd International Conference of Web Engineering, Jul 2022, Bari, Italy. pp.1-16, ⟨10.1007/978-3-031-09917-5_14⟩
Lecture Notes in Computer Science ISBN: 9783031099168
International audience; This paper focuses on the fundamental role played by annotations to support provenance analysis in visual exploration processes of large datasets. Particularly, we investigate the use of annotations during the visual explorati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc95c6c25691e25fcbe079fc879199f8
https://hal.science/hal-03779349
https://hal.science/hal-03779349
Publikováno v:
Language Resources and Evaluation
Language Resources and Evaluation, 2022
Language Resources and Evaluation, 2022
International audience; We present the WASABI 1 Song Corpus, a large corpus of songs enriched with metadata extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. More specifically, given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd16e94e6d9381fac6778e5157b60f39
https://hal.science/hal-03812106
https://hal.science/hal-03812106
Autor:
Michel Buffa, Franck Michel, Michael Fell, Alain Giboin, Maroua Tikat, Marco Winckler, Guillaume Pellerin, Johan Pauwels, Romain Hennequin, Elena Cabrio, Fabien Gandon
Publikováno v:
The Semantic Web ISBN: 9783030773847
ESWC
The Semantic Web. ESWC 2021. Lecture Notes in Computer Science, vol 12731.
The Semantic Web. ESWC 2021. Lecture Notes in Computer Science, vol 12731., pp.515-531, 2021, ⟨10.1007/978-3-030-77385-4_31⟩
ESWC
The Semantic Web. ESWC 2021. Lecture Notes in Computer Science, vol 12731.
The Semantic Web. ESWC 2021. Lecture Notes in Computer Science, vol 12731., pp.515-531, 2021, ⟨10.1007/978-3-030-77385-4_31⟩
International audience; Since 2017, the goal of the two-million song WASABI database has been to build a knowledge graph linking collected metadata (artists,discography, producers, dates, etc.) with metadata generated by the analysis of both the song
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3373bb052306932447501731ad7d2a14
https://doi.org/10.1007/978-3-030-77385-4_31
https://doi.org/10.1007/978-3-030-77385-4_31