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Article

The Polifonia Ontology Network: Building a Semantic Backbone for Musical Heritage

Authors:

Jacopo de Berardinis,

Valentina Anita Carriero,

Nicolas Lazzari,

Albert Meroño-Peñuela,

Andrea Poltronieri,

Valentina PresuttiAuthors Info & Claims

The Semantic Web – ISWC 2023: 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part II

Pages 302 - 322

https://doi.org/10.1007/978-3-031-47243-5_17

Published: 06 November 2023 Publication History

Abstract

In the music domain, several ontologies have been proposed to annotate musical data, in both symbolic and audio form, and generate semantically rich Music Knowledge Graphs. However, current models lack interoperability and are insufficient for representing music history and the cultural heritage context in which it was generated; risking the propagation of recency and cultural biases to downstream applications. In this article, we propose the Polifonia Ontology Network (PON) for music cultural heritage, centred around four modules: Music Meta (metadata), Representation (content), Source (provenance) and Instrument (cultural objects). We design PON with a strong accent on cultural stakeholder requirements and competency questions (CQs), contributing an NLP-based toolkit to support knowledge engineers in generating, validating, and analysing them; and a novel, high-quality CQ dataset produced as a result. We show current and future use of these resources by internal project pilots, early adopters in the music industry, and opportunities for the Semantic Web and Music Information Retrieval communities.

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Cited By

Walker JKoutsiana ENwachukwu MMeroño Peñuela ASimperl E(2024)The Promise and Challenge of Large Language Models for Knowledge Engineering: Insights from a HackathonExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650844(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650844
Alharbi RTamma VGrasso FPayne T(2024)A Review and Comparison of Competency Question Engineering ApproachesKnowledge Engineering and Knowledge Management10.1007/978-3-031-77792-9_17(271-290)Online publication date: 25-Nov-2024
https://dl.acm.org/doi/10.1007/978-3-031-77792-9_17
Morales Tirado ACarvalho JRatta MUwasomba CMulholland PBarlow HHerbert TDaga E(2024)Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network AnalysisThe Semantic Web10.1007/978-3-031-60635-9_7(110-127)Online publication date: 26-May-2024
https://dl.acm.org/doi/10.1007/978-3-031-60635-9_7

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Information & Contributors

Information

Published In

cover image Guide Proceedings

The Semantic Web – ISWC 2023: 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part II

Nov 2023

514 pages

ISBN:978-3-031-47242-8

DOI:10.1007/978-3-031-47243-5

Editors:
Terry R. Payne
https://ror.org/04xs57h96University of Liverpool, Liverpool, UK
,
Valentina Presutti
https://ror.org/01111rn36University of Bologna, Bologna, Italy
,
Guilin Qi
https://ror.org/04ct4d772Southeast University, Nanjing, China
,
María Poveda-Villalón
https://ror.org/03n6nwv02Universidad Politécnica de Madrid, Madrid, Spain
,
Giorgos Stoilos
Huawei Technologies R&D UK, Edinburgh, UK
,
Laura Hollink
https://ror.org/00x7ekv49Centrum Wiskunde and Informatica, Amsterdam, The Netherlands
,
Zoi Kaoudi
IT University of Copenhagen, Copenhagen, Denmark
,
Gong Cheng
https://ror.org/01rxvg760Nanjing University, Nanjing, China
,
Juanzi Li
https://ror.org/03cve4549Tsinghua University, Beijing, China

© The Author(s) 2023.

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

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Published: 06 November 2023

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Cited By

Walker JKoutsiana ENwachukwu MMeroño Peñuela ASimperl E(2024)The Promise and Challenge of Large Language Models for Knowledge Engineering: Insights from a HackathonExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650844(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650844
Alharbi RTamma VGrasso FPayne T(2024)A Review and Comparison of Competency Question Engineering ApproachesKnowledge Engineering and Knowledge Management10.1007/978-3-031-77792-9_17(271-290)Online publication date: 25-Nov-2024
https://dl.acm.org/doi/10.1007/978-3-031-77792-9_17
Morales Tirado ACarvalho JRatta MUwasomba CMulholland PBarlow HHerbert TDaga E(2024)Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network AnalysisThe Semantic Web10.1007/978-3-031-60635-9_7(110-127)Online publication date: 26-May-2024
https://dl.acm.org/doi/10.1007/978-3-031-60635-9_7

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