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The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata

Meroño-Peñuela, Albert; de Valk, Reinier; Daga, Enrico; Daquino, Marilena and Kent-Muller, Anna (2018). The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata. In: 1st International Workshop on Semantic Applications for Audio and Music (SAAM) held in conjunction with ISWC 2018., 9 Oct 2018, Monterey, California, USA, ACM.

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The Linked Data paradigm has been used to publish a large number of musical datasets and ontologies on the Semantic Web, such as MusicBrainz, AcousticBrainz, and the Music Ontology. Recently, the MIDI Linked Data Cloud has been added to these datasets, representing more than 300,000 pieces in MIDI format as Linked Data, opening up the possibility for linking fine-grained symbolic music representations to existing music metadata databases. Despite the dataset making MIDI resources available in Web data standard formats such as RDF and SPARQL, the important issue of finding meaningful links between these MIDI resources and relevant contextual metadata in other datasets remains. A fundamental barrier for the provision and generation of such links is the difficulty that users have at adding new MIDI performance data and metadata to the platform. In this paper, we propose the Semantic Web MIDI Tape, a set of tools and associated interface for interacting with the MIDI Linked Data Cloud by enabling users to record, enrich, and retrieve MIDI performance data and related metadata in native Web data standards. The goal of such interactions is to find meaningful links between published MIDI resources and their relevant contextual metadata. We evaluate the Semantic Web MIDI Tape in various use cases involving user-contributed content, MIDI similarity querying, and entity recognition methods, and discuss their potential for finding links between MIDI resources and metadata.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
Keywords: MIDI; Linked Data; score enrichment; metadata; MIR
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 56752
Depositing User: Kay Dave
Date Deposited: 02 Oct 2018 13:03
Last Modified: 16 Jul 2019 06:53
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