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Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges

Daquino, Marilena; Daga, Enrico; d'Aquin, Mathieu; Gangemi, Aldo; Holland, Simon; Laney, Robin; Penuela, Albert Merono and Mulholland, Paul (2017). Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges. In: Second Workshop on Humanities in the Semantic Web - WHiSe II, 21-25 October 2017, Vienna, Austria.

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Abstract

Musical data can be analysed, combined, transformed and exploited for diverse purposes. However, despite the proliferation of digital 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 criteria 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.

Item Type: Conference or Workshop Item
Copyright Holders: 2017 The Authors
Extra Information: Co-located with the 16th International Semantic Web Conference (ISWC)
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Health and Wellbeing PRA (Priority Research Area)
Related URLs:
Item ID: 51570
Depositing User: Kay Dave
Date Deposited: 16 Oct 2017 09:51
Last Modified: 06 Nov 2017 10:45
URI: http://oro.open.ac.uk/id/eprint/51570
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