hcdigitalscholarship / omac

Ontology for Analytic Claims in Music (OMAC)

OMAC ontology

The repository contains an OWL ontology, called OMAC - Ontology for Analytic Claims in Music, for musical critical assessments.

SPARQL Endpoint

The Endpoint is available at: https://lod.crimproject.org/. It allow accessing CRIM's data through the OnTop Virtual Knowledge Graph System (https://ontop-vkg.org/).

The code for the SPARQL Endpoint, including a copy of the OBDA mappings and sample SPARQL queries, is available at the following GitHub repository: https://github.com/CRIM-Project/ontop

Reference:

• Sanfilippo, E. M., & Freedman, R. (2023). CRIM and the Ontology for Analytic Claims in Music (OMAC). CRIM Essay available at: https://crimwp.richardfreedman.sites.haverford.edu/?page_id=1180
• Sanfilippo, E. M., & Freedman, R. (2022). Ontology for Analytic Claims in Music. In European Conference on Advances in Databases and Information Systems (pp. 559-571). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-15743-1_51
• Slides (https://github.com/HCDigitalScholarship/OMAC/blob/main/OMAC_presentation_12_2023.pdf)

For information, please write to:

Emilio Sanfilippo, [email protected] Richard Freedman, [email protected]

The ontology development is supported by the project CRIM funded by ACLS Digital Extension Grant from the American Council of Learned Societies.