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FONN (FOlk N-gram aNalysis) repo targets the identification of patterns that are useful in detecting relationships between pieces of music, with a particular focus on European musical heritage. At present, it includes three components:
\n\nThe collection of the Polifonia community on Zenodo includes diverse outputs of the project including publications, presentations, and talks made available in various formats here. The Polifonia project is funded by the EU Horizon 2020 Programme and will run until April 2024 to recreate the connections between music, people, places, and events from the sixteenth century to the modern day. These findings will be available to everyone as an interconnected global database on the web – a knowledge graph – and will enhance our understanding of European musical heritage.
\r\n\r\nThe collection of the Polifonia community on Zenodo includes diverse project outputs including publications, presentations, and talks available here in various formats. The Polifonia project is a 3M€ project funded by the EU Horizon 2020 Programme that will run from January 2021 until April 2024 to recreate the connections between music, people, places, and events from the sixteenth century to the modern day. These findings will be available to everyone as an interconnected global database on the web – a knowledge graph – and will enhance our understanding of European musical heritage.
\r\n\r\nThe Polifonia consortium is an interdisciplinary team of passionate researchers and music lovers: computer scientists, anthropologists and ethnomusicologists, historians of music, linguists, musical heritage archivists, cataloguers and administrators, and creative professionals. The project partners are the University of Bologna (UniBo), the Open University (OU), King's College London (KCL), Centre de Recherche Scientifiques (CNRS), Koninklijke Nederlandse Akademie van Wetenschappen (KNAW), Conservatoire National des Arts et Métiers (CNAM), Netherlands Institute for Sound and Vision (NISV), Ministero della cultural Italy (MiC), and Digital Paths (DP).
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