Towards the Ontologization of the Outsider Art Domain: Position Paper

John Roberto, Brian Davis


Abstract
The purpose of this paper is to present a prospective and interdisciplinary research project seeking to ontologize knowledge of the domain of Outsider Art, that is, the art created outside the boundaries of official culture. The goal is to combine ontology engineering methodologies to develop a knowledge base which i) examines the relation between social exclusion and cultural productions, ii) standardizes the terminology of Outsider Art and iii) enables semantic interoperability between cultural metadata relevant to Outsider Art. The Outsider Art ontology will integrate some existing ontologies and terminologies, such as the CIDOC - Conceptual Reference Model (CRM), the Art & Architecture Thesaurus and the Getty Union List of Artist Names, among other resources. Natural Language Processing and Machine Learning techniques will be fundamental instruments for knowledge acquisition and elicitation. NLP techniques will be used to annotate bibliographies of relevant outsider artists and descriptions of outsider artworks with linguistic information. Machine Learning techniques will be leveraged to acquire knowledge from linguistic features embedded in both types of texts.
Anthology ID:
2020.isa-1.11
Volume:
Proceedings of the 16th Joint ACL-ISO Workshop on Interoperable Semantic Annotation
Month:
May
Year:
2020
Address:
Marseille
Editor:
Harry Bunt
Venue:
ISA
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
94–101
Language:
English
URL:
https://aclanthology.org/2020.isa-1.11
DOI:
Bibkey:
Cite (ACL):
John Roberto and Brian Davis. 2020. Towards the Ontologization of the Outsider Art Domain: Position Paper. In Proceedings of the 16th Joint ACL-ISO Workshop on Interoperable Semantic Annotation, pages 94–101, Marseille. European Language Resources Association.
Cite (Informal):
Towards the Ontologization of the Outsider Art Domain: Position Paper (Roberto & Davis, ISA 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.isa-1.11.pdf