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Polifonia: a digital harmoniser for musical heritage knowledge

Periodic Reporting for period 3 - Polifonia (Polifonia: a digital harmoniser for musical heritage knowledge)

Berichtszeitraum: 2023-03-01 bis 2024-04-30

Polifonia aims at increasing the amount of knowledge about musical heritage available on the web in a form that is easily accessible both by humans and machines. The project contributes to advance knowledge engineering methodologies and tools, to produce new and align existing music ontologies and knowledge graphs, to produce new music-specific linguistic resources, and to publish and support curation of music contents.
Europe's Musical Heritage Knowledge (MHK) is kept in many places, but they are disconnected (no links) and heterogeneous (sound, texts, scores, all variously transmitted). Scholars, memory institutions, music professionals and artists, and citizens struggle to access and retrieve MHK. Even when they can access and explore it, it is hard to identify relations across music objects, or between MHK and historical or social events.
Polifonia is concerned with explicitly and homogeneously representing MHK, with dense interlinking and public access.
Polifonia has collected stories and use cases that hint at the need for methods and tools for (1) representing orally transmitted heritage and guaranteeing its preservation and transmission, 2) studying large and distributed digital collections of music objects and plurilingual texts, 3) discovering and representing MHK, its links to tangible cultural objects, and to their social, cultural, historical contexts, spanning several centuries and geographic areas.
Polifonia is building an ecosystem of computational methods and tools supporting discovery, extraction, encoding, interlinking, classification, exploration of, and access to, musical heritage knowledge on the Web.
Polifonia releases open source resources, methods, and software, performs dissemination actions for stakeholders and early adopters; increases the engagement of female students in STEM topics through MH-focused laboratories; supports reproducible and customisable artistic digital installation leveraging its technologies and resources; applies its results to ten pilots about preservation, management, studying and interaction with MHK, involving cultural institutes and collection owners, historians of music, anthropologists and ethnomusicologists, linguists, etc.
# Website: https://polifonia-project.eu/(öffnet in neuem Fenster)
# Ecosystem: https://polifonia-project.github.io/ecosystem/(öffnet in neuem Fenster)
# Visual system: https://vimeo.com/518636055(öffnet in neuem Fenster)
# GitHub repository: https://github.com/polifonia-project(öffnet in neuem Fenster)
# RuleBook for developers: https://github.com/polifonia-project/rulebook(öffnet in neuem Fenster)
# CLEF (Crowdsourcing Linked Entities via web Form): https://github.com/polifonia-project/registry_app(öffnet in neuem Fenster)
# All pilots went through co-design with experts and first validation round
# Polifonia Ontology Network (PON): addresses the representation of music objects and their context: https://github.com/polifonia-project/ontology-network(öffnet in neuem Fenster)
# SPARQL Anything extensions: from collections into RDF knowledge graphs: https://github.com/SPARQL-Anything/sparql.anything(öffnet in neuem Fenster)
# Smashub (under testing): a software framework supporting the conversion of music datasets into knowledge graphs, complying with MIR standards https://github.com/smashub(öffnet in neuem Fenster)
# Knowledge graphs: 11 knowledge graphs released (see the Ecosystem or the output page on the polifonia website)
# The Ceol Rince na hÉireann (CRE) reengineered to correct MIDI version: https://zenodo.org/record/5768216#.YhtsRpPMI-R(öffnet in neuem Fenster)
# MIDI to LOD: https://github.com/midi-ld/midi2vec(öffnet in neuem Fenster)
# Music objects analysis and patterns:
## Folk ngrams analysis (FONN) tools: https://zenodo.org/record/5768216#.YbEAbS2Q3T8(öffnet in neuem Fenster)
## Local harmonic agreement based on recurrent patterns (LHARP): https://github.com/polifonia-project/lharp(öffnet in neuem Fenster)
## abstract tree-based model to index music content - faceted search engine deployed for NEUMA: http://neuma.huma-num.fr/(öffnet in neuem Fenster)
## ChoCo (Chord Corpus and knowledge graph - 20k tracks with curated chord annotations): https://github.com/smashub/choco(öffnet in neuem Fenster)
# Software for text corpus population and OCR software: https://github.com/polifonia-project/textual-corpus-population(öffnet in neuem Fenster)
# Specialised lexicon for MH (~4000 concepts): https://github.com/polifonia-project/Polifonia-Lexicon(öffnet in neuem Fenster)
# Plurilingual text corpus (~250000 texts)
# Interacting with MH objects and knowledge:
## 2 workshops experimenting Haptic devices for supporting the ACCESS pilot
## Interface for multimodal music interpretation used in a live museum exhibition
## A thorough study on existing user interaction practices has been developed to design (and implement) an interactive tool supporting the exploration of music data and knowledge, in association with listening experiences
# Stakeholder network: 40 members and collaboration with many of them
# First stakeholder workshop held in Paris, September 2022 (25 external participants)
# Workshop on Multisensory Data & Knowledge at The Web Conference - collaboration between Polifonia and Odeuropa consortia: https://odeuropa.github.io/mdk/(öffnet in neuem Fenster)
# Active participation at DARIAH Working Group AIM
# Polifonia keynotes: Copernicus Festival 2022, Podiumkunst 2022, SmartComp 2023, ICAART 2023
## Polifonia keynote and research demo at AI&Music - Sonar festival Barcelona (2021): https://polifonia-project.eu/re-watch-polifonia-presentation-at-ai-music-festival-sonar/(öffnet in neuem Fenster)
#Some demos:
## FACETS (search and indexing engine for music scores): http://neuma-dev.huma-num.fr/(öffnet in neuem Fenster)
## Tonalities (music annotation tools - score annotations based on music theories): https://data-iremus.huma-num.fr/tonalities/(öffnet in neuem Fenster)
## Textual corpus interrogation tool: https://polifonia.disi.unibo.it/corpus/(öffnet in neuem Fenster)
## Melody (creating datastories from knowledge graphs): https://projects.dharc.unibo.it/melody/(öffnet in neuem Fenster)
## From text to knowledge graphs: https://arco.istc.cnr.it/txt-amr-fred/(öffnet in neuem Fenster)
## musoW, browsing and querying more than 500 MH resources: https://w3id.org/musow/(öffnet in neuem Fenster)
## Sonar interface design and demo - interaction combining listening experience with exploration of musical content and Knowledge: https://polifonia-project.github.io/sonar2021_demo/home(öffnet in neuem Fenster)
## Musilar, interactive interface for browsing and querying harmonic similarity graphs: https://polifonia-project.github.io/musilar-preview/(öffnet in neuem Fenster)
## ODP Reactor, knowledge graph visualisation based on ontology design patterns: https://github.com/ccolonna/odp-reactor/projects(öffnet in neuem Fenster)
## Play italian bells' real sound: https://bellspilot.fly.dev/(öffnet in neuem Fenster)
## CLEF (Crowdsourcing Linked Entities via web Form) https://polifonia-project.github.io/clef/(öffnet in neuem Fenster)
Polifonia knowledge graphs and methods fosters advancement in music data interoperability and links between tangible and intangible entities (integration and extension of music notation ontologies; ontologies of multiple music contexts, including textual knowledge; associating notation patterns and contexts such as places, time, events; MHK copyright and provenance semantics).
Polifonia large-scale MHK analysis advances extraction of MHK patterns, applying them in the pilots, and supporting their use by stakeholders. That pattern layer is an asset for global exploration and discovery across MHK.
Polifonia advances large scale knowledge analysis of texts on musical heritage, discovering spatio-temporal data, agents, places, experiences, opinions, perceptions, cross-cultural perspectives.
Polifonia provides a web portal with a registry of resources, their provenance, a meta-search engine and other advanced query and exploration interfaces: visual, gestural, haptic.
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