Creative AI: a New Avenue for Semantic Web?

Tracking #: 2246-3459

This paper is currently under review
Authors: 
Agnieszka Lawrynowicz

Responsible editor: 
Guest Editor 10-years SWJ

Submission type: 
Other
Abstract: 
Computational Creativity (or artificial creativity) is a multidisciplinary field, researching how to construct computer programs that model, simulate, exhibit or enhance creative behaviour. This vision paper explores a possible impact Semantic Web can have on the future of creativity, especially when it deals with AI creativity. Possible uses of SemanticWeb and semantic technologies are discussed, regarding three types of creativity: i) exploratory creativity, ii) combinational creativity, and iii) transformational creativity and relevant research questions. For exploratory creativity, how can we explore the limits of what is possible, while remaining bound by a set of existing domain axioms, templates, and rules, expressed with semantic technologies? To achieve a combinational creativity, how can we combine or blend existing concepts, frames, ontology design patterns, and other constructs, and benefit from cross-fertilization? Ultimately, can we use ontologies and knowledge graphs, which describe an existing domain with its constraints and, applying a meta-rule for transformational creativity, start dropping constraints and adding new constraints and see what emerges? Together with these new challenges, the paper also provides pointers to emerging and growing application domains of Semantic Web and knowledge graphs related to computational creativity and design: from food and cooking (recipe generation), fashion and style to program synthesis, software composition and scientific discovery.
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Under Review