MusicOWL: The music score ontology

Jim Jones, Diego De Siqueira Braga, Kleber Tertuliano, Tomi Kauppinen

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

8 Citations (Scopus)


Managing and analyzing music scores content is a known issue for digital libraries. Despite their inarguable complexity, these contents are often ignored by digital libraries, where music scores are mostly treated as simple digital images. This paper reports on the development and application of MusicOWL, an ontology to formally describe music scores contents for western music. Unlike other efforts on the subject, MusicOWL provides a comprehensive vocabulary for annotating music scores, which covers important music-related information, such as melodies, dynamics, and tonalities. We also report on the Linked Music Score dataset creation, including all necessary steps from scanned music scores to RDF triples, and how this linked music score data enables users to search for music scores by using handy queries, thus translating the needs of many music professionals, data curators and online learners. Additionally, we introduce and analyze the search engine WWU Music Score Portal, which uses the approach proposed in this work to improve music scores discovery and support online learning of music.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
Number of pages8
ISBN (Electronic)9781450349512
Publication statusPublished - 23 Aug 2017
MoE publication typeA4 Article in a conference publication
EventIEEE/WIC/ACM International Conference on Web Intelligence - Leipzig, Germany
Duration: 23 Aug 201726 Aug 2017
Conference number: 16


ConferenceIEEE/WIC/ACM International Conference on Web Intelligence
Abbreviated titleWI


  • Digital humanities
  • Linked data
  • Music scores
  • OWL


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