Creativity and unpredictability
Stanford Humanities Review
The further exploits of Aaron, painter
Stanford Humanities Review
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Understanding, building and using ontologies
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Interactive foundations of computing
Theoretical Computer Science - Special issue: theoretical aspects of coordination languages
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Creativity and artificial intelligence
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Computational intelligence for decision support
Computational intelligence for decision support
Creating creativity: user interfaces for supporting innovation
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine
Ontology mapping: the state of the art
The Knowledge Engineering Review
Some Ontological Remarks about Music Composition Processes
Computer Music Journal
A preliminary framework for description, analysis and comparison of creative systems
Knowledge-Based Systems
The importance of retrieval in creative design analogies
Knowledge-Based Systems
The future of computer-aided innovation
Computers in Industry
Sufficient conditions for inventive solutions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Computational Model of Collaborative Creativity: A Meta-Design Approach
International Journal of Knowledge and Systems Science
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Computational creativity researchers have long been searching for a reliable creative method of generating transformational creativity in Creativity Support Tools, in vain, especially when these systems are supposed to take in a user's unfinished creative work and produce representational and creative outputs as continuations to the user input. In this paper we propose a new creative method called Conceptual Recombination to take up this challenge. We first define creative work for this study followed by creative work ontology to be the theoretical background of Conceptual Recombination. We further refer to application ontology and regard Conceptual Recombination as the task model for creative work ontology. In this task model there are three levels of prediction leading to the formations of output features, output structures, and their combinations as the final system outputs constrained by rules, biases, and homeomorphism. Furthermore, this new creative method allows the use of exploratory creativity on structures and transformational creativity on features to attain a balance between usefulness and novelty in system outputs. A 7-tuple computational model and the search mechanisms for exploratory and transformational creativity are also defined for it. Lastly, we evaluate Conceptual Recombination with our case study about producing a 2-dimensional asymmetrical shape with a given symmetrical shape to demonstrate its practicality and conclude that it not only offers a new reliable creative method for Creativity Support Tools, but also provides an objective evaluation method for transformational creativity.