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The S-PIC4CHU Project: Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, and Unbiased Data Science
Conference proceeding   Open access   Peer reviewed

The S-PIC4CHU Project: Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, and Unbiased Data Science

G Alfano, I Bartolini, Diego Calvanese, P Ciaccia, S Greco, Davide Lanti, E Lenzi, C Molinaro, M Patella, L Tanca, …
Symposium on Advanced Database Systems 2025 (SEBD 2025): Proceedings of the 33rd. Italian Symposium on Database Systems , Vol.4182, pp.723-724
CEUR Workshop Proceedings, 4182
Italian Symposium on Database Systems (SEBD) (Ischia, 16/06/2025–19/06/2025)
2025
Handle:
https://hdl.handle.net/10863/52471

Abstract

Data science Data preparation Data quality Ontologies Inconsistency Incompleteness Knowledge Graphs Provenance Explanation Bias Semantics
Project Summary
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ResearchProjectExhibitionTrackSEBD2025-mainRPE_0738.55 kBDownloadView
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url
https://ceur-ws.org/Vol-4182/paper22.pdfView

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