The Performed Music Ontology project aims to develop a BIBFRAME-based ontology for performed music in all formats, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. The work is a collaborative effort of Stanford University, the Music Library Association (MLA), the Association for Recorded Sound Collections (ARSC), the Library of Congress, and the PCC, with participation of LD4P partner institutions.
- Written evaluation of the BIBFRAME ontology in describing performed music, including a set of use cases to justify extending and/or expanding the ontology.
- Linked data ontology with a BIBFRAME core with for describing performed music.
- RDA profile to complement the ontology for shared use by the library community, including list of preferred vocabularies.
- Representative selection of resource descriptions created using the Performed Music Ontology.
- Best practices for augmenting and/or manipulating performed music MARC bibliographic records to improve conversion to the Performed Music Ontology.
- Evaluation of the project findings with a set of recommendations for further research and development.
- Presentation of project findings to appropriate library and linked data communities.
Analysis/Modeling
- Finalizing modeling of performers, medium of performance, and events in relation to works.
Community Engagement
- Presentations and community engagement at the Music Library Association conference.
Linked Data Creation
Tool Exploration / Requirements Definition
Collaboration
Nancy Lorimer (lead) (Stanford)
Kirk-Evan Billet (MLA; Peabody-Johns Hopkins)
Chew Chiat Naun (PCC; Cornell)
Greta de Groat (Stanford Stanford)
Arcadia Falcone (Stanford Stanford)
Caitlin Hunter (ARSC; LC)
Kevin Kishimoto (Stanford)
Wendy Sistrunk (ARSC; U Missouri, Kansas City)
Jim Soe-Nyun (MLA; UC San Diego)
Hilary Thorsen (Stanford)
Valerie Weinberg (LC)
Link to working documents (for partners only)
Analysis/Modeling
- Gathered existing use cases for performed music metadata and developed further use cases.
- Surveyed existing linked data efforts related to performed music.
- Analyzed BIBFRAME and added classes and properties relevant to performed music.
- Modeled performed-music-specific concepts including thematic catalog and opus numbers and musical key and mode.
Linked Data Creation
Tool Exploration / Requirements Definition
Collaboration
Community Engagement
