Abstract
This paper presents a detailed discussion of the data modelling and functional implementation of a semantically-enabled knowledge base related to the creation, digitisation and archiving of large-scale public art works. Based on principles of international best practice, standards and interoperability, the paper focuses on the use of the CIDOC-CRM ontology used in conjunction with the Arches Digital Cultural Heritage data management system to model street art-related entities and their semantic relationships. The work presented here is an extension of the work of the mementoArtem Digital Street Art Archive Project being carried out in conjunction with the INSYTE-Cooley Research Laboratory (I-CRL), South East Technological University (SETU), Waterford, Ireland.
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