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

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	WHiSe 2017 Workshop on Humanities in the Semantic Web
Subtitle of host publication	Proceedings 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
Editors	Alessandro Adamou, Enrico Daga, Leif Isaksen
Publisher	CEUR-WS.org
Pages	57-68
Number of pages	12
Publication status	Published - 2017

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR ws.org
Volume	2014

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https://ceur-ws.org/Vol-2014/paper-07.pdf

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Daquino, M., Daga, E., D'Aquin, M., Gangemi, A., Holland, S., Laney, R., Meroño-Peñuela, A., & Mulholland, P. (2017). Characterizing the Landscape of Musical Data on the Web: State of the art and challenges. In A. Adamou, E. Daga, & L. Isaksen (Eds.), WHiSe 2017 Workshop on Humanities in the Semantic Web: Proceedings 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 (pp. 57-68). (CEUR Workshop Proceedings; Vol. 2014). CEUR-WS.org. https://ceur-ws.org/Vol-2014/paper-07.pdf

Daquino, Marilena ; Daga, Enrico ; D'Aquin, Mathieu et al. / Characterizing the Landscape of Musical Data on the Web: State of the art and challenges. WHiSe 2017 Workshop on Humanities in the Semantic Web: Proceedings 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. editor / Alessandro Adamou ; Enrico Daga ; Leif Isaksen. CEUR-WS.org, 2017. pp. 57-68 (CEUR Workshop Proceedings).

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title = "Characterizing the Landscape of Musical Data on the Web: State of the art and challenges",

abstract = "Musical data can be analysed, combined, transformed andexploited for diverse purposes. However, despite the proliferation of dig-ital libraries and repositories for music, infrastructures and tools, suchuses of musical data remain scarce. As an initial step to help fill thisgap, we present a survey of the landscape of musical data on the Web,available as a Linked Open Dataset: the musoW dataset of cataloguedmusical resources. We present the dataset and the methodology and cri-teria for its creation and assessment. We map the identified dimensionsand parameters to existing Linked Data vocabularies, present insightsgained from SPARQL queries, and identify significant relations betweenresource features. We present a thematic analysis of the original researchquestions associated with surveyed resources and identify the extent towhich the collected resources are Linked Data-ready.",

author = "Marilena Daquino and Enrico Daga and Mathieu D'Aquin and Aldo Gangemi and Simon Holland and Robin Laney and Albert Mero{\~n}o-Pe{\~n}uela and Paul Mulholland",

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language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

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Daquino, M, Daga, E, D'Aquin, M, Gangemi, A, Holland, S, Laney, R, Meroño-Peñuela, A & Mulholland, P 2017, Characterizing the Landscape of Musical Data on the Web: State of the art and challenges. in A Adamou, E Daga & L Isaksen (eds), WHiSe 2017 Workshop on Humanities in the Semantic Web: Proceedings 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. CEUR Workshop Proceedings, vol. 2014, CEUR-WS.org, pp. 57-68. <https://ceur-ws.org/Vol-2014/paper-07.pdf>

Characterizing the Landscape of Musical Data on the Web: State of the art and challenges. / Daquino, Marilena; Daga, Enrico; D'Aquin, Mathieu et al.
WHiSe 2017 Workshop on Humanities in the Semantic Web: Proceedings 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. ed. / Alessandro Adamou; Enrico Daga; Leif Isaksen. CEUR-WS.org, 2017. p. 57-68 (CEUR Workshop Proceedings; Vol. 2014).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Laney, Robin

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N2 - Musical data can be analysed, combined, transformed andexploited for diverse purposes. However, despite the proliferation of dig-ital libraries and repositories for music, infrastructures and tools, suchuses of musical data remain scarce. As an initial step to help fill thisgap, we present a survey of the landscape of musical data on the Web,available as a Linked Open Dataset: the musoW dataset of cataloguedmusical resources. We present the dataset and the methodology and cri-teria for its creation and assessment. We map the identified dimensionsand parameters to existing Linked Data vocabularies, present insightsgained from SPARQL queries, and identify significant relations betweenresource features. We present a thematic analysis of the original researchquestions associated with surveyed resources and identify the extent towhich the collected resources are Linked Data-ready.

AB - Musical data can be analysed, combined, transformed andexploited for diverse purposes. However, despite the proliferation of dig-ital libraries and repositories for music, infrastructures and tools, suchuses of musical data remain scarce. As an initial step to help fill thisgap, we present a survey of the landscape of musical data on the Web,available as a Linked Open Dataset: the musoW dataset of cataloguedmusical resources. We present the dataset and the methodology and cri-teria for its creation and assessment. We map the identified dimensionsand parameters to existing Linked Data vocabularies, present insightsgained from SPARQL queries, and identify significant relations betweenresource features. We present a thematic analysis of the original researchquestions associated with surveyed resources and identify the extent towhich the collected resources are Linked Data-ready.

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Daquino M, Daga E, D'Aquin M, Gangemi A, Holland S, Laney R et al. Characterizing the Landscape of Musical Data on the Web: State of the art and challenges. In Adamou A, Daga E, Isaksen L, editors, WHiSe 2017 Workshop on Humanities in the Semantic Web: Proceedings 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. CEUR-WS.org. 2017. p. 57-68. (CEUR Workshop Proceedings). Epub 2017 Dec 4.

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

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