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Ontology for Analytic Claims in Music

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New Trends in Database and Information Systems (ADBIS 2022)

Abstract

The Semantic Web is increasingly used in research about music. A challenge is how to conceive musical works considering the hot debate about their nature in areas like musicology, philosophy, and library science. In addition, scholars ask for approaches representing research claims since these can be useful to document the scholarly debate. Building on a research project in musicology, we present an ontology for musical works and claims about them. The development of the ontology is work in progress.

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Notes

  1. 1.

    https://crimproject.org/.

  2. 2.

    https://crimproject.org/pieces/CRIM_Model_0011/.

  3. 3.

    https://music-encoding.org/guidelines/v4/content/metadata.html.

  4. 4.

    https://www.w3.org/TR/owl-ref/.

  5. 5.

    https://github.com/HCDigitalScholarship/OMAC.

  6. 6.

    The mereology of musical entities might be further refined; e.g., to understand whether mereological sums of sections still count as works’ sections. One needs however to pay attention in representing models that are significant from a musicological perspective.

  7. 7.

    https://crimproject.org/masses/CRIM_Mass_0006.

  8. 8.

    RDF models for all examples presented in the paper are available at https://github.com/HCDigitalScholarship/OMAC (see the files for namespaces).

  9. 9.

    For these inferences, readers can browse the object property chains in the ontology.

  10. 10.

    The data in Fig. 2 is available at: http://crimproject.org/observations/1/.

  11. 11.

    CRIM attributes to characterize analytic segments: https://sites.google.com/haverford.edu/crim-project/vocabularies/musical-types?authuser=0.

  12. 12.

    The data in Fig. 3 is available at: https://crimproject.org/relationships/2/.

  13. 13.

    CRIM about similarity relations: https://sites.google.com/haverford.edu/crim-project/vocabularies/relationship-types.

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Acknowledgements

This work is partially supported by the project CRIM, funded by ACLS Digital Extension Grant from the American Council of Learned Societies. The authors wish to thank colleagues at the CESR University of Tours (France) for the fruitful discussions leading to this paper.

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Correspondence to Emilio M. Sanfilippo .

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Sanfilippo, E.M., Freedman, R. (2022). Ontology for Analytic Claims in Music. In: Chiusano, S., et al. New Trends in Database and Information Systems. ADBIS 2022. Communications in Computer and Information Science, vol 1652. Springer, Cham. https://doi.org/10.1007/978-3-031-15743-1_51

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  • DOI: https://doi.org/10.1007/978-3-031-15743-1_51

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