Dissemination
This section points to informative material and initiatives presenting Polifonia achievements.
Publications
The Music Annotation Pattern
Title:The Music Annotation Pattern
Author:Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri and Valentina Presutti
Publication:Workshop on Ontology Design Patterns (WOP)
Date:31.10.2022
The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems and conventions for annotating music have been developed as independent standards over the past decades. Little has been done to make them interoperable, which jeopardises cross-corpora studies as it requires users to familiarise with a multitude of conventions. Most of these systems lack the semantic expressiveness needed to represent the complexity of the musical language and cannot model multi-modal annotations originating from audio and symbolic sources. In this article, we introduce the Music Annotation Pattern, an Ontology Design Pattern (ODP) to homogenise different annotation systems and to represent several types of musical objects (e.g. chords, patterns, structures). This ODP preserves the semantics of the object’s content at different levels and temporal granularity. Moreover, our ODP accounts for multi-modality upfront, to describe annotations derived from different sources, and it is the first to enable the integration of music datasets at a large scale.
Towards improving Wikidata reuse with emerging patterns
Title:Towards improving Wikidata reuse with emerging patterns
Author:Valentina Anita Carriero, Paul Groth and Valentina Presutti
Publication:Wikidata Workshop
Date:31.10.2022
The ontology underlying Wikidata has not been formalized. Instead, its semantics emerges from the use of its classes and properties. Flexible rules and suggestions have been defined by the Wikidata project for the use of its ontology, however, it is still often difficult to reuse the ontology’s constructs. In this paper, we describe a method for extracting emerging patterns from (a domain-specific portion of) Wikidata, in the form of statistically frequent domain-property-range triplets. We show the results of our experiments on a Wikidata subset addressing the music domain, and compare them with the current support present in Wikidata. These patterns can provide guidance for the use of the Wikidata ontology and its potential improvement.
Image: see attachment
ARTchives: a Linked Open Data native catalogue of art historians’ archives
Title:ARTchives: a Linked Open Data native catalogue of art historians’ archives
Author:Marilena Daquino, Lucia Giagnolini, Francesca Tomasi
Publication:Theory and Practice of Digital Libraries (TPDL)
Date:25.11.2021
Proceedings of Linked Archives International Workshop 2021 co-located with 25th International Conference on Theory and Practice of Digital Libraries (TPDL 2021).
Semantic Integration of MIR Datasets with the Polifonia Ontology Network
Title:Semantic Integration of MIR Datasets with the Polifonia Ontology Network
Author:Valentina Anita Carriero, Fiorela Ciroku, Jacopo de Berardinis, Delfina Sol Martínez Pandiani, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti.
Publication:International Society for Music Information Retrieval Conference (ISMIR 2021), Late Breaking & Demo session (2021)
Date:01.11.2021
Integration between different data formats, and between data belonging to different collections, is an ongoing challenge in the MIR field. Semantic Web tools have proved to be promising resources for making different types of music information interoperable. However, the use of these technologies has so far been limited and scattered in the field. To address this, the Polifonia project 1
is developing an ontological ecosystem that can cover a wide variety of musical aspects (musical features, instruments, emotions, performances). In this paper, we present the Polifonia Ontology Network, an ecosystem that enables and fosters the transition towards Semantic MIR.
MIDI Representation with Graph Embeddings
Title:MIDI Representation with Graph Embeddings
Author:Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy
Publication:International Society for Music Information Retrieval Conference (ISMIR 2021), Late Breaking & Demo session (2021)
Date:01.11.2021
In MIR, feature extraction has been extensively used for learning models of MIDI. We propose an alternative approach that relies on the extraction of latent features from a graph of connected nodes. We show that our MIDI2vec approach has good performance in metadata prediction.
MIDI2vec: Learning MIDI Embeddings for Reliable Prediction of Symbolic Music Metadata
Title:MIDI2vec: Learning MIDI Embeddings for Reliable Prediction of Symbolic Music Metadata
Author:Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy
Publication:IOS Press (2021)
Date:01.09.2021
An important problem in large symbolic music collections is the low availability of high-quality metadata, which is essential for various information retrieval tasks. Traditionally, systems have addressed this by relying either on costly human annotations or on rule-based systems at a limited scale. Recently, embedding strategies have been exploited for representing latent factors in graphs of connected nodes. In this work, we propose MIDI2vec, a new approach for representing MIDI files as vectors based on graph embedding techniques. Our strategy consists of representing the MIDI data as a graph, including the information about tempo, time signature, programs and notes. Next, we run and optimise node2vec for generating embeddings using random walks in the graph. We demonstrate that the resulting vectors can successfully be employed for predicting the musical genre and other metadata such as the composer, the instrument or the movement. In particular, we conduct experiments using those vectors as input to a Feed-Forward Neural Network and we report good comparable accuracy scores in the prediction with respect to other approaches relying purely on symbolic music, avoiding feature engineering and producing highly scalable and reusable
models with low dimensionality. Our proposal has real-world applications in automated metadata tagging for symbolic music, for example in digital libraries for musicology, datasets for machine learning, and knowledge graph completion.
Integrating citizen experiences in cultural heritage archives: requirements, state of the art, and challenges
Title:Integrating citizen experiences in cultural heritage archives: requirements, state of the art, and challenges
Author:Daga, Enrico; Asprino, Luigi; Damiano, Rossana; Daquino, Marilena; Diaz Agudo, Belen; Gangemi, Aldo; Kuflik, Tsvi; Lieto, Antonio; Marras, Anna Maria; Martinez Pandiani, Delfina; Mulholland, Paul; Peroni, Silvio; Pescarin, Sofia; Wecker, Alan.
Publication:ACM JOCCH (2021)
Date:01.01.2021
Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of material spanning from visitors’ experiential feedback on exhibitions and cultural artefacts, to digitally mediated interactions like the ones happening on social media platforms. Citizen curation is proposed in the context of the European project SPICE – Social Participation, Cohesion, and Inclusion through Cultural Engagement – as a methodology for producing, collecting, interpreting, and archiving people’s responses to cultural objects, with the aim of favouring the emergence of multiple, sometimes conflicting viewpoints, and motivating users and memory institutions to reflect upon them.
We argue that citizen curation urges to rethink the nature of computational infrastructures supporting data management of memory institutions, bringing novel challenges that include issues of distribution, authoritativeness, interdependence, privacy, and rights management. To approach these issues, we survey relevant literature towards a distributed, Linked Data infrastructure, with a focus on identifying the roles and requirements involved in such an infrastructure. We show how existing research can contribute significantly in facing the challenges raised by citizen curation, and discuss challenges and opportunities from the socio-technical standpoint.
The Polifonia portal: a confluence of user stories, research pilots, data management and knowledge graph technology
Title:The Polifonia portal: a confluence of user stories, research pilots, data management and knowledge graph technology
Author:Scharnhorst Andrea, Admiraal Femmy, van Kranenburg Peter, Guillotel-Nothmann Christophe, Mulholland Paul
Publication:DARIAH Annual event
Date:07.09.2021
This paper takes as an example the envisioned portal of the newly started Polifonia project that interlinks resources from very rich, old, established archives while making optimal use of the latest semantic web technologies. In the project, ten research pilots, spanning from historical bells and organ heritage, classification of polyphonic notated music, to the historical role of music in children’s lives, form the driving force behind the development of the dedicated interface.
Sequential Linked Data: the State of Affairs
Title:Sequential Linked Data: the State of Affairs
Author:Enrico Daga, Albert Meroño-Peñuela, Enrico Motta
Publication:Semantic Web–Interoperability, Usability, Applicability (2021): In-press.
Date:21.07.2021
Software and data for the experiments in “Sequential Linked Data: the state of affairs”
Facade-X: an Opinionated Approach to SPARQL Anything
Title:Facade-X: an Opinionated Approach to SPARQL Anything
Author:Enrico Daga, Luigi Asprino, Paul Mulholland, Aldo Gangemi
Publication:SEMANTICS 2021, Amsterdam, September 2021. arXiv preprint arXiv:2106.02361 (2021).
Date:21.07.2021
SPARQL-Anything/sparql.anything
Public Deliverables
Analysis of music repositories to identify musical patterns
Title:Analysis of music repositories to identify musical patterns
Author:James McDermott (NUIG) and Danny Diamond (NUIG) and Abdul Shahid Khattak (NUIG) and Peter van Krannenburg (KNAW) and Jacopo de Berardinis (KCL) and Andrea Poltron- ieri (UNIBO) and Albert Meroño Peñuela (KCL) and Raphaël Fournier-S’niehotta (CNAM) and Tiange Zhu (CNAM)
Publication:Report
Date:31.12.2021
Deliverable D3.2
Report on experiments with music representations to identify statistically significant patterns in available repositories of structured music information.
Policy brief
Title:Policy brief
Author:Jesse de Vos (NISV, task leader), Valentina Presutti (UNIBO), Albert Merona Penuela (KCL), Marilena Daquino (UNIBO), James McDermott (NUI GALWAY), Marco Gurrieri (CNRS), Enrico Daga (OU), Andrea Scharnhorst (KNAW), Nicole Emmenegger (NISV)
Publication:Report
Date:31.12.2021
Deliverable D6.4
Reports, in the form or recommendation targeting policy makers, a summary of the project results so far and the lessons learned by all partners. (1st version)
Roadmap and pilot requirements 1st version
Title:Roadmap and pilot requirements 1st version
Author:Thomas Bottini (CNRS-IReMus), Valentina Anita Carriero (UNIBO), Jason Carvalho (OU), Philippe Cathé (Sorbonne-IReMus), Fiorela Ciroku (UNIBO), Enrico Daga (OU), Marilena Daquino (UNIBO), Achille Davy-Rigaux (CNRS-IReMus), Christophe Guillotel-Nothmann (CNRS-IReMus) [Task leader], Marco Gurrieri (CNRS-IReMus), Philo van Kemenade (NISV), Eleonora Marzi (UNIBO), Albert Meroño Peñuela (KCL), Paul Mulholland (OU), Elena Musumeci (MiC), Valentina Presutti (UNIBO), Andrea Scharnhorst (KNAW)
Publication:Report
Date:30.06.2021
Deliverable D1.1
Outlines the modalities by which the resources, needs, objectives and quality standards of the pilots will be defined.
Pilots development – collaborative methodology and tools
Title:Pilots development – collaborative methodology and tools
Author:Enrico Daga The Open University (OU), Albert Merono (KCL), Marilena Daquino and Fiorela Ciroku (UNIBO), Elena Musumeci (MiC), Marco Guerrieri (CNRS), Andrea Scharnhorst and Femmy Admiraal (KNAW), Raphaël Fournier-S’niehotta (CNAM)
Publication:Report
Date:30.06.2021
Deliverable D1.3
Describes the role of the Technical Board and the methods and tools used to support the collaboration and coordination of technical efforts from the partners towards the realisation of the ecosystem of software and tools supporting the pilots
First Data Management Plan
Title:First Data Management Plan
Author:Femmy Admiraal (KNAW) Task lead, Andrea Scharnhorst (KNAW) Task lead, Enrico Daga (OU), Marilena Daquino (UNIBO), Elena Musumeci (MiC), Peter van Kranenburg (KNAW), Christophe Guillotel-Nothmann (CNRS-IReMus), Marco Gurrieri (CNRS-IReMus), Valentina Presutti (UNIBO), Marta Clementi (UNIBO), Albert Meroño Peñuela (KCL), Monica Turci (UNIBO), Eleonora Marzi (UNIBO), Antonio Puglisi (DP), Raphaël Fournier-S’niehotta (CNAM)
Publication:ORDP: Open Research Data Pilot
Date:30.06.2021
Deliverable D7.1
First version of a Data Management Plan (DMP) to support the management of the outputs of the project during the development of the project, and after the project has ended.
Web presence and Polifonia image
Title:Web presence and Polifonia image
Author:Antonio Puglisi (DP, Task Leader); Letizia Scalise and Danilo Di Capua (DP); Yasemin Bagci (NISV)
Publication:Report
Date:28.02.2021
Deliverable D6.6
Development of a digital communication plan to present Polyphony and the results achieved by the project.
Development of the brand image of the project and the required communication materials.
Plan for Exploitation, Dissemination and Communication of Results – 1st version
Title:Plan for Exploitation, Dissemination and Communication of Results – 1st version
Author:Yasemin Bagci and Jesse de Vos (NISV, Task Leaders); Nicole Emmenegger (NISV)
Publication:Report
Date:30.06.2021
Deliverable D6.1
The initial strategy for project dissemination and communication. This is based on a needs analysis of the different target user groups. Start of the Dissemination and Communication Team and the initiation of the editorial outreach calendar.
Plurilingual corpora containing source texts in English, French, Spanish and German
Title:Plurilingual corpora containing source texts in English, French, Spanish and German
Author:Rocco Tripodi, UNIBO; Eleonora Marzi, UNIBO; Andrea Poltronieri, UNIBO; Valentina Presutti, UNIBO; Angelo Pombilio, UNIBO; Antonella Luporini, UNIBO; Peter van Kranenburg – KNAW; Entico Daga – OU
Publication:Other
Date:30.10.2021
Deliverable D4.1
Release of plurilingual corpora containing source texts in English, French, Spanish and German
Software tool for pattern extraction
Title:Software tool for pattern extraction
Author:Danny Diamond (NUIG) and Abdul Sahid and James McDer- mott (NUIG), and Jacopo de Berardinis (KCL) and Andrea Poltronieri (UNIBO) and Peter van Kranenburg (KNAW)
Publication:Other
Date:31.12.2021
Deliverable D3.1
Open source software and documentation for the task of extracting musically meaningful repeating patterns from a corpus of melodies.
Ontologies and knowledge graphs of music objects, patterns, and software package – 1st version
Title:Ontologies and knowledge graphs of music objects, patterns, and software package – 1st version
Author:Albert Meroño-Peñuela (KCL), Jacopo de Berardinis (KCL), Delfina Sol Martinez Pandiani (UNIBO), Valentina Anita Carriero (UNIBO), Mari Wigham (NISV), Andrea Poltronieri (UNIBO), Fiorela Ciroku (UNIBO), Christophe Guillotel-Nothmann (IReMus), Philippe Rigaux (IReMuS)
Publication:Other
Date:31.12.2021
Deliverable D2.1
Description of ontologies for musical objects (Score Ontology), patterns (Musicianship Ontology), and musical heritage metadata. Technical report of the software that transforms music collections into knowledge graphs according to these ontologies.
Talks and presentations
Progetto H2020 Polifonia: lessico multilingue per un Knowledge Graph del patrimonio musicale europeo
Presented by: Eleonora Marzi, Ana Pano Alaman, Angelo Pompilio, Valentina Presutti, Rocco Tripodi, Monica Turci, Valeria Zotti, Peter van Kranenburg
Presented at: XVIII Giornata Scientifica REALITER
Find the programme here.
The Polifonia portal: a confluence of user stories, research pilots, data management and knowledge graph technology
Conference Paper presentation by Scharnhorst, Andrea, Admiraal, Femmy, van Kranenburg, Peter, Guillotel-Nothmann, Christophe, & Mulholland, Paul at DARIAH Annual event 2021, Interfaces
Semantic Integration of MIR Datasets with the Polifonia Ontology Network
Conference Paper presentation by Valentina Anita Carriero, Fiorela Ciroku, Jacopo de Berardinis, Delfina Sol Martínez Pandiani, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti at ISMIR 2021
Find the event website here.
MIDI Representation with Graph Embeddings
Conference Paper presentation by Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy at ISMIR 2021
Find the event website here.
Demo Research: Polifonia
Polifonia presented its first demo research at the Sonar AI Music and Festival (27.28 October 2021) in Barcelona.