#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

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22 February 2023

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2 February 2023

In our newest video Paul Mulholland, leader of WP5 explains how Polifonia intends to let people access or contribute to the music data Polifonia offers, in a way that fits their level of expertise, interest or physical abilities.

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25 January 2023

Earlier in December, Polifonia’s team from Bologna presented a novel music segmentation method called Pitchclass2vec at the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022). Master student Nicolas Lazzari was asked to present the experiments that were part of this research.

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21 December 2022

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13 December 2022

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented to these Dutch heritage professionals. Find the visual report here.

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented…

7 December 2022

Polifonia’s team from Bologna is gearing up for 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), where Nicolas Lazzari, Andrea Poltronieri and Valentina Presutti are presenting a novel music segmentation method called Pitchclass2vec.

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28 November 2022

Annual Conference focuses on the CLARIAH digital humanities infrastructure and its use by researchers and other professionals from the heritage field. This free program offers lectures, debates, interactive presentations, workshops and poster sessions and dives into topics like AI, social media, linked data & data stories. 

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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