An Information Representation Framework for the Performing Arts

As much of the performing arts activity has moved to the virtual space over the past eighteen months, an effective online presence, as well as an efficient way to reach potential audiences has become essential for arts organizations everywhere.
Information that can be machine processed effectively is key to a successful online presence. However, existing representational frameworks struggle to address the unique challenge presented by the performing arts domain, and the existence of multiple, incompatible schemas, many of them informal or insufficiently formalized, further hinders the effective dissemination and processing of information.
This research project will undertake the development of open-source formal ontologies for representing knowledge in the performing arts field as well as a methodology for incorporating ontologies in recommender systems. This work will be integrated into StagePage’s technology platform which will be vital to the development of a new series of products and the company’s overall growth.

Faculty Supervisor:

Ian Garrett

Student:

Partner:

StagePage Ltd.

Discipline:

Computer science

Sector:

Arts, entertainment and recreation; Information and cultural industries

University:

York University

Program:

Accelerate

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