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The project ontology team will build on work underway by BSC to identify concepts important for the description of rare materials as well as work by the Special Collection Ontology Language Project. The BSC effort builds on the Descriptive Cataloging of Rare Materials series produced by BSC and used extensively in the cataloging of rare materials. Cornell proposes to work with partner organizations to take the conceptual work produced by BSC and create an extension ontology. By working with BSC, the project partners will follow the LD4P philosophy of incorporating community engagement into the process with the intended goal of community adoption. Following the development of the ontology, we will engage catalogers at a variety of institutions to test the model and provide feedback.
Objectives
- To investigate how BIBFRAME can be augmented by other existing vocabularies for describing rare materials and sound recordings, and to publish a working ontology for this purpose
- To investigate further data modeling for handling materiality, provenance, annotations and other concepts relevant to describing rare materials
- To engage with the rare material community on the development of an ontology extension
- To publish a vocabulary in which the rare materials communities can publish their data as linked data
Native Linked Data Creation for Bambaataa LPs
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The Bambaataa project will also be undertaken concurrently with the Rare Materials Ontology project and will similarly take into account its findings.
Objectives
- To produce a prototype RDF cataloging tool based on Vitro and progressively improve it through an iterative process of development and in-the-field use
- To produce natively created RDF descriptions for approximately 1,000 noncommercial LPs in the Afrika Bambaataa collection
- To evaluate, in collaboration with Stanford's Performed Music Ontology group, current BIBFRAME provisions for describing sound recordings and special collections material, and to provide further input on BIBFRAME development
- To investigate augmentation and integration of LC value vocabularies with those from other sources (e.g. MusicBrainz)
- To test integration of natively created RDF descriptions with descriptions generated through conversion from MARC