Characterizing the Landscape of Musical Data on the Web: State of the art and challenges

Marilena Daquino, Enrico Daga, Mathieu D'Aquin, Aldo Gangemi, Simon Holland, Robin Laney, Albert Meroño-Peñuela, Paul Mulholland

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Musical data can be analysed, combined, transformed and
exploited for diverse purposes. However, despite the proliferation of dig-
ital libraries and repositories for music, infrastructures and tools, such
uses of musical data remain scarce. As an initial step to help fill this
gap, we present a survey of the landscape of musical data on the Web,
available as a Linked Open Dataset: the musoW dataset of catalogued
musical resources. We present the dataset and the methodology and cri-
teria for its creation and assessment. We map the identified dimensions
and parameters to existing Linked Data vocabularies, present insights
gained from SPARQL queries, and identify significant relations between
resource features. We present a thematic analysis of the original research
questions associated with surveyed resources and identify the extent to
which the collected resources are Linked Data-ready.
Original languageEnglish
Title of host publicationWHiSe 2017 Workshop on Humanities in the Semantic Web
Subtitle of host publicationProceedings of the Second Workshop on Humanities in the Semantic Web (WHiSe II) co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 22, 2017
EditorsAlessandro Adamou, Enrico Daga, Leif Isaksen
PublisherCEUR-WS.org
Pages57-68
Number of pages12
Publication statusPublished - 2017

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR ws.org
Volume2014

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