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The HaMSE Ontology: Using Semantic Technologies to support Music Representation Interoperability and Musicological Analysis

arXiv 2202.05817 ↗First posted 11 Feb 2022cs.SD cs.AI cs.DLcited by 1

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Abstract (arXiv)

The use of Semantic Technologies - in particular the Semantic Web - has revealed to be a great tool for describing the cultural heritage domain and artistic practices. However, the panorama of ontologies for musicological applications seems to be limited and restricted to specific applications. In this research, we propose HaMSE, an ontology capable of describing musical features that can assist musicological research. More specifically, HaMSE proposes to address sues that have been affecting musicological research for decades: the representation of music and the relationship between quantitative and qualitative data. To do this, HaMSE allows the alignment between different music representation systems and describes a set of musicological features that can allow the music analysis at different granularity levels.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 42 references that are in the map. First posted on arXiv 11 Feb 2022.

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