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Ontology-Based Annotation of Music Scores

Published: 04 December 2017 Publication History

Abstract

Digital music scores are a way to present music notation and lack of semantic information useful for musicology purposes in order to manipulate music concepts. We propose a general approach to extend score encodings with semantic annotations. It relies on an ontology of music notation designed to integrate semantic music elements either extracted or produced by a knowledge process. We illustrate the whole mechanism by extracting RDF facts based on the identification of dissonances in Renaissance counterpoint.

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Cited By

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  • (2023)Functional harmony ontologyWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2022.10075475:COnline publication date: 1-Jan-2023
  • (2023)The Polifonia Ontology Network: Building a Semantic Backbone for Musical HeritageThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_17(302-322)Online publication date: 6-Nov-2023
  • (2022)MIDI2vecSemantic Web10.3233/SW-21044613:3(357-377)Online publication date: 1-Jan-2022
  • Show More Cited By

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cover image ACM Conferences
K-CAP '17: Proceedings of the 9th Knowledge Capture Conference
December 2017
271 pages
ISBN:9781450355537
DOI:10.1145/3148011
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 04 December 2017

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Author Tags

  1. Annotation
  2. Knowledge extraction
  3. Music Notation Ontology
  4. SWRL

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  • Short-paper
  • Research
  • Refereed limited

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K-CAP 2017
Sponsor:
K-CAP 2017: Knowledge Capture Conference
December 4 - 6, 2017
TX, Austin, USA

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

View all
  • (2023)Functional harmony ontologyWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2022.10075475:COnline publication date: 1-Jan-2023
  • (2023)The Polifonia Ontology Network: Building a Semantic Backbone for Musical HeritageThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_17(302-322)Online publication date: 6-Nov-2023
  • (2022)MIDI2vecSemantic Web10.3233/SW-21044613:3(357-377)Online publication date: 1-Jan-2022
  • (2021)Data quality assessment in digital score librariesInternational Journal on Digital Libraries10.1007/s00799-021-00299-722:2(159-173)Online publication date: 1-Jun-2021
  • (2020)Supporting Music Pattern Retrieval and AnalysisProceedings of the 10th International Conference on Web Intelligence, Mining and Semantics10.1145/3405962.3405973(17-20)Online publication date: 30-Jun-2020
  • (2018)A Music Theory OntologyProceedings of the 1st International Workshop on Semantic Applications for Audio and Music10.1145/3243907.3243913(6-14)Online publication date: 9-Oct-2018

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