polifonia project full details
Champion:
Enrico Daga
Senior Research Fellow
Participant(s):Paul Mulholland, Simon Holland, Enrico Motta, Helen Barlow, Trevor Herbert, Naomi Barker, Paul Warren, Jason Carvalho
Similar Projects:FindLEr,
Timeline:01 Jan 2021 - 01 Apr 2024
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Polifonia
A digital harmoniser of European musical heritage
Polifonia, a new 3M€ project funded by the EU Horizon 2020 Programme will run for the next 40 months 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 and will enhance our understanding of European musical heritage.
With the help of Artificial Intelligence, Polifonia will analyse sounds, texts and musical scores to recreate the history of European musical heritage through people, events, languages, and places.
Polifonia will help scholars in studying how music changed and reacted to the social and political environment over the past six centuries, providing a vast resource to uncover these phenomena, systematically: a knowledge graph - a network of interconnected data from all the main musical heritage sources with one single point of access. The 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.
Partners
- Alma Mater Studiorium University of Bologna (IT
- Coordinator)
- The Open University (UK)
- King’s College London (UK)
- National University of Ireland Galway (IE)
- Ministero per i Beni e le Attività Culturali e per il Turismo (IT)
- Centre National de la Recherche Scientifique (FR)
- Conservatiore National des Arts et Metiers (FR)
- Stichting Nederlands Instituut Voorbeeld en Geluid (NL)
- Koninklijke Nederlandse Akademie van Wetenschappen (NL)
- Digital Paths srl (IT)
News
23 Sep 2024
KMi News
23 Jul 2024
KMi News
11 Jul 2024
KMi News
12 Jun 2024
KMi News
19 Oct 2023
KMi News
Warren, P. (2025). Sensemaking across the modalities - art, music, and text. The Open University. https://oro.open.ac.uk/104164/.
Samela, L., Daga, E. and Mulholland, P. (2025). Investigating vividness bias in language models through art interpretations. In: Workshop on Evaluation of Language Models in Knowledge Engineering (ELMKE), 26 Nov 2024, Amsterdam, Netherlands. https://oro.open.ac.uk/101364/.
Carvalho, J., Daga, E., Mulholland, P., Asprino, L., Uwasomba, C., Daquino, M., Gangemi, A., Maguire, M. and Stoneman, A. (2024). Integrating Citizen Experiences in Cultural Heritage Archives with a Linked Non-Open Data Hub. Journal on Computing and Cultural Heritage, 17(4), https://oro.open.ac.uk/100981/.
Warren, P., Mulholland, P., Daga, E. and Asprino, L. (2024). Path-based and triplification approaches to mapping data into RDF: User behaviours and recommendations. Semantic Web, 15(6), pp. 2479–2505. https://oro.open.ac.uk/99559/.
Mulholland, P., Van Kranenburg, P., Carvalho, J. and Daga, E. (2024). Supporting the End-User Curation of Cultural Heritage Knowledge Graphs. In: 35th ACM Conference on Hypertext and Social Media (HT '24), 10-13 Sep 2024, Poznań, Poland. https://oro.open.ac.uk/99120/.
Morales Tirado, A., Carvalho, J., Ratta, M., Uwasomba, C., Mulholland, P., Barlow, H., Herbert, T. and Daga, E. (2024). Musical Meetups Knowledge Graph (MMKG): a collection of evidence for historical social network analysis. In: ESWC 2024: The 21st Extended Semantic Web Conference, 26-30 May 2024, Hersonissos, Crete, Greece. https://oro.open.ac.uk/96738/.
Mulholland, P., Stoneman, A., Barker, N., Maguire, M., Carvalho, J., Daga, E. and Warren, P. (2023). The Sound of Paintings: Using Citizen Curation to Explore the Cross-Modal Personalization of Museum Experiences. In: Workshop on Personalized Access to Cultural Heritage (PATCH) at UMAP ’23, 26 Jun 2023, Limassol, Cyprus. https://oro.open.ac.uk/88914/.
Daga, E. and Groth, P. (2024). Data journeys: explaining AI workflows through abstraction. Semantic Web, 15(4), pp. 1057–1083. https://oro.open.ac.uk/88012/.
Ratta, M. and Daga, E. (2022). Knowledge Graph Construction From MusicXML: An Empirical Investigation With SPARQL Anything. In: Music Heritage Knowledge Graphs (MHKG). Workshop co-located with the International Semantic Web Conference (ISWC), 23 Oct 2022, Online. https://oro.open.ac.uk/85326/.
Chiatti, A. and Daga, E. (2022). Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey. In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with the 21st International Semantic Web Conference (ISWC), 23-24 Oct 2022, Virtual. https://oro.open.ac.uk/85282/.
Asprino, L., Daga, E., Gangemi, A. and Mulholland, P. (2023). Knowledge Graph Construction with a façade: a unified method to access heterogeneous data sources on the Web. ACM Transactions on Internet Technology (TOIT), 23(1), pp. 1–31. https://oro.open.ac.uk/84520/.
Daga, E., Asprino, L., Damiano, R., Daquino, M., Agudo, B.D., Gangemi, A., Kuflik, T., Lieto, A., Maguire, M., Marras, A.M., Pandiani, D.M., Mulholland, P., Peroni, S., Pescarin, S. and Wecker, A. (2022). Integrating Citizen Experiences in Cultural Heritage Archives: Requirements, State of the Art, and Challenges. Journal on Computing and Cultural Heritage, 15(1), pp. 1–35. https://oro.open.ac.uk/81791/.
