The Music Annotation Pattern
March 30, 2023 Β· Declared Dead Β· π WOP@ISWC
"No code URL or promise found in abstract"
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Authors
Jacopo de Berardinis, Albert MeroΓ±o-PeΓ±uela, Andrea Poltronieri, Valentina Presutti
arXiv ID
2304.00988
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MM,
cs.SD,
eess.AS
Citations
7
Venue
WOP@ISWC
Last Checked
4 months ago
Abstract
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.
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