The MIDI Linked Data Cloud
The study of music is highly interdisciplinary, and thus requires the combination of datasets from multiple musical domains, such as catalog metadata (authors, song titles, dates), industrial records (labels, producers, sales), and music notation (scores). While today an abundance of music metadata...
| Main Authors: | , , , , , , , , , , |
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| Format: | Conference item |
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Springer Verlag
2017
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| _version_ | 1797088871640465408 |
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| author | Meroño-Peñuela, A Hoekstra, R Gangemi, A Bloem, P de Valk, R Stringer, B Janssen, B de Boer, V Allik, A Schlobach, S Page, K |
| author_facet | Meroño-Peñuela, A Hoekstra, R Gangemi, A Bloem, P de Valk, R Stringer, B Janssen, B de Boer, V Allik, A Schlobach, S Page, K |
| author_sort | Meroño-Peñuela, A |
| collection | OXFORD |
| description | The study of music is highly interdisciplinary, and thus requires the combination of datasets from multiple musical domains, such as catalog metadata (authors, song titles, dates), industrial records (labels, producers, sales), and music notation (scores). While today an abundance of music metadata exists on the Linked Open Data cloud, linked datasets containing interoperable symbolic descriptions of music itself, i.e. music notation with note and instrument level information, are scarce. In this paper, we describe the MIDI Linked Data Cloud dataset, which represents multiple collections of digital music in the MIDI standard format as Linked Data using the novel midi2rdf algorithm. At the time of writing, our proposed dataset comprises 10,215,557,355 triples of 308,443 interconnected MIDI files, and provides Web-compatible descriptions of their MIDI events. We provide a comprehensive description of the dataset, and reflect on its applications for research in the Semantic Web and Music Information Retrieval communities. |
| first_indexed | 2024-03-07T02:56:19Z |
| format | Conference item |
| id | oxford-uuid:af69120b-1c22-4b17-bbad-2fed8478e5c8 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:56:19Z |
| publishDate | 2017 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | oxford-uuid:af69120b-1c22-4b17-bbad-2fed8478e5c82022-03-27T03:49:24ZThe MIDI Linked Data CloudConference itemhttp://purl.org/coar/resource_type/c_5794uuid:af69120b-1c22-4b17-bbad-2fed8478e5c8Symplectic Elements at OxfordSpringer Verlag2017Meroño-Peñuela, AHoekstra, RGangemi, ABloem, Pde Valk, RStringer, BJanssen, Bde Boer, VAllik, ASchlobach, SPage, KThe study of music is highly interdisciplinary, and thus requires the combination of datasets from multiple musical domains, such as catalog metadata (authors, song titles, dates), industrial records (labels, producers, sales), and music notation (scores). While today an abundance of music metadata exists on the Linked Open Data cloud, linked datasets containing interoperable symbolic descriptions of music itself, i.e. music notation with note and instrument level information, are scarce. In this paper, we describe the MIDI Linked Data Cloud dataset, which represents multiple collections of digital music in the MIDI standard format as Linked Data using the novel midi2rdf algorithm. At the time of writing, our proposed dataset comprises 10,215,557,355 triples of 308,443 interconnected MIDI files, and provides Web-compatible descriptions of their MIDI events. We provide a comprehensive description of the dataset, and reflect on its applications for research in the Semantic Web and Music Information Retrieval communities. |
| spellingShingle | Meroño-Peñuela, A Hoekstra, R Gangemi, A Bloem, P de Valk, R Stringer, B Janssen, B de Boer, V Allik, A Schlobach, S Page, K The MIDI Linked Data Cloud |
| title | The MIDI Linked Data Cloud |
| title_full | The MIDI Linked Data Cloud |
| title_fullStr | The MIDI Linked Data Cloud |
| title_full_unstemmed | The MIDI Linked Data Cloud |
| title_short | The MIDI Linked Data Cloud |
| title_sort | midi linked data cloud |
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