VisualArtsDNA

VisualArtsDNA organizes the details of the visual arts creative process into an information model expressed in the Web Ontology Language (OWL), a type of RDF model.

This ontology is inspired by the Creative Works Ontology for the Film & TV Industry.

The ontology is available in graphical form* and in an RDF file (TTL/text).

See this ontology titled "Information Model for the Visual Arts" on Archivo. This ontology is not definitive or complete.

A vocabulary (thesaurus) of visual arts terms is available in graphical form* and in an RDF file (TTL/text).

The current instance data can be browsed by selecting "Browse" at the top of the page. Query the model, vocabulary and instance data by selecting "SPARQL" at the top of the page.

The thesaurus and the ontology use different knowledge representation formalisms (SKOS and OWL, respectively). The concepts in the thesaurus serve as a vocabulary that can be used to populate or describe instances within the classes defined by the ontology. The hierarchical relationships defined using skos:broader in the thesaurus align with the class hierarchies defined using rdfs:subClassOf in the ontology. The organization of the thesaurus using skos:inScheme reflects different subject areas or modules within the ontology. The thesaurus and the ontology are intended to be semantically aligned and coherent, with the thesaurus providing the vocabulary for the domain modeled by the ontology. They work together to provide a structured representation of knowledge in the visual arts.
[This analysis is from a google gemini review of the thesaurus and ontology.]

The data in the instance model can be viewed with:

D3 graphics
drawings and watercolors basic data
watercolors basic data
watercolors physical data
watercolors NFT data
drawings basic data
drawings physical data
drawings NFT data
Lsys graphics
drawings and watercolors basic data
watercolors basic data
watercolors physical data
watercolors NFT data
drawings basic data
drawings physical data
drawings NFT data

Development of the VisualArtsDNA ontology is motivated by a need to organize the author's art information, other artists may benefit from using the model for their own art information, and collaborating artists may need a common information model over the visual arts creative-process domain.

*See pan and zoom SVG for more information.




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