Music, Heritage, and Policy in the Age of AI (Q3872): Difference between revisions
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Mesteranna (talk | contribs) (Created a new Item: Music, Heritage, and Policy in the Age of AI, This deposit contains an early working draft of Music, Heritage, and Policy in the Age of AI: Building the Diversity Pillar of the European Music Observatory with Federated Knowledge Graphs. The document reports on methodological, technical, and governance work carried out within the Open Music Europe (OpenMusE) project, focusing on federated cultural data infrastructures, diversity-aware policy indicators, and priva...) |
Mesteranna (talk | contribs) (Created claim: author (P106): Daniel Antal (Q3873)) |
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| Property / has access point: https://zenodo.org/records/18076940 / rank | |||||||||||||||
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29 December 2025
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Latest revision as of 13:33, 23 February 2026
This deposit contains an early working draft of Music, Heritage, and Policy in the Age of AI: Building the Diversity Pillar of the European Music Observatory with Federated Knowledge Graphs. The document reports on methodological, technical, and governance work carried out within the Open Music Europe (OpenMusE) project, focusing on federated cultural data infrastructures, diversity-aware policy indicators, and privacy-preserving evaluation methods for music ecosystems. It draws on national implementations (Slovakia, Hungary) and community-curated heritage data spaces (Finno-Ugric repertoires) as applied case studies.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Music, Heritage, and Policy in the Age of AI |
This deposit contains an early working draft of Music, Heritage, and Policy in the Age of AI: Building the Diversity Pillar of the European Music Observatory with Federated Knowledge Graphs. The document reports on methodological, technical, and governance work carried out within the Open Music Europe (OpenMusE) project, focusing on federated cultural data infrastructures, diversity-aware policy indicators, and privacy-preserving evaluation methods for music ecosystems. It draws on national implementations (Slovakia, Hungary) and community-curated heritage data spaces (Finno-Ugric repertoires) as applied case studies. |