#Release: Polifonia releases first version of the Polifonia Ecosystem

The outcomes of the first year of the Polifonia project have been collected in one environment. Researchers, musicians, heritage professionals and anyone interested in musical cultural heritage can now use this ecosystem to find relevant datasets, tools and services in one central spot. Let’s find out more. 

30 May 2022

The Polifonia Ecosystem is a collection of components for developing intelligent applications leveraging musical cultural heritage. The ecosystem consists of data, methods and tools supporting discovery, extraction, encoding, interlinking, classification, exploration of and access to musical heritage knowledge on the Web. Polifonia Ecosystem components are both independent — they have some value on their own — and interlinked — they can be used together in order to satisfy specific end-user needs. 

The first release of the Polifonia Ecosystem includes requirements specifications, software, data, and tools produced during the first year of the Polifonia project. The release includes: Persona (19), Stories (28), Services (2), Schema (1), Repository (3), UI (1), Library (2), Dataset (3), Corpus (1), CLI tool (2).  

Some of the highlights are:

Ceol Rince na hÉireann (Corpus): 1,224 traditional Irish dance tunes, each of which is represented as a monophonic MIDI file. Read more

Amy#1_OrganTrends (Story). For her next research project, Amy wants to discover artistic and technical trends of organs and how these developed. The development of these trends could possibly indicate wider social trends. Read more 

MusoW (Dataset), music data on the web is a Linked Open Data registry of music resources available on the web. It includes extensive descriptions of more that 500 music collections, datasets, digital libraries and software solutions relevant to music. Read more

SPARQL Anything (Tool) is a system for Semantic Web re-engineering that allows users to query anything with SPARQL. Read more

The ecosystem will be expanded during future releases with registries, ontologies, repositories and more. Want to find out what is currently accessible? Then head to our Polifonia Ecosystem Website (https://polifonia-project.github.io/ecosystem/), which is the resource for accessing the ecosystem and browsing the components and associated documentation during and after the project’s runtime. Want to contribute? See the Ecosystem Rulebook on GitHub: https://github.com/polifonia-project/rulebook

Recent News

We are happy to announce the fourth episode of the Polifonia series of seminars with experts in AI, musicology, and related fields. The Polifonia seminar #4 will take place on June 28 at 6 pm CET. 

We are happy to announce the fourth episode of the Polifonia series of seminars with experts in…

16 June 2022

The outcomes of the first year of the Polifonia project have been collected in one environment. Researchers, musicians, heritage professionals and anyone interested in musical cultural heritage can now use this ecosystem to find relevant datasets, tools and services in one central spot. Let’s find out more. 

The Polifonia Ecosystem is a collection of components for developing intelligent applications leveraging…

30 May 2022

Valentina Presutti, Michel Buffa, Luc Steels, Jean-François Trubert and Enrico Daga are preparing a workshop on musical heritage and knowledge graphs for the International Semantic Web Conference (ISWC).

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We are happy to announce the third episode of the Polifonia series of seminars with experts in AI, musicology,…

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With great interest Polifonia watches and takes notes on the Dutch initiative by Podiumkunst.net to unite collections of performing arts in a knowledge graph.

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14 April 2022

Mari Wigham and Philo van Kemenade from Sound & Vision investigate how graph representations can help users of the CLARIAH Media Suite in their search within music collections.

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Frans Elsen Septet’s legacy finds new life through exciting collaboration of music historians, musicians and Podiumkunst.net

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746