A computational tool for creative idea generation based on analogical reasoning and ontology
File(s)
Author(s)
Han, Ji
Shi, Feng
Chen, Liuqing
Childs, Peter RN
Type
Journal Article
Abstract
Analogy is a core cognition process used to produce inferences as well as new ideas using previous knowledge and experience. Ontology is a formal representation of a set of domain concepts and their relationships. The use of analogy and ontology in design activities to support design creativity have previously been explored. This paper explores an approach to construct ontologies with sufficient richness and coverage to support reasoning over real-world datasets for prompting creative idea generation. This approach has been implemented into a computational tool for assisting designers in generating creative ideas during the early stages of design. The tool, called “the Retriever”, has been developed based on ontology by embracing the aspects of analogical reasoning. A case study has indicated that the tool can be effective and useful for idea generation. The results have indicated that the tool, in its current formulation, can significantly improve the fluency and flexibility of idea generation and the usefulness of ideas, as well as slightly increase the originality of ideas, for the case study concerned.
Date Issued
2018-11-01
Date Acceptance
2018-04-23
Citation
AI EDAM, 2018, 32 (4), pp.462-477
ISSN
0890-0604
Publisher
Cambridge University Press (CUP)
Start Page
462
End Page
477
Journal / Book Title
AI EDAM
Volume
32
Issue
4
Copyright Statement
© 2018 Cambridge University Press. This paper has been accepted for publication and will appear in a revised form, subsequent to peer-review and/or editorial input by Cambridge University Press.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446673700008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Engineering, Multidisciplinary
Engineering, Manufacturing
Computer Science
Engineering
Analogy
creativity
design creativity
ideation
ontology
BIOLOGICALLY INSPIRED DESIGN
ENGINEERING DESIGN
KNOWLEDGE
SUPPORT
FIXATION
SYSTEMS
MODELS
REPRESENTATION
METHODOLOGY
INFORMATION
Publication Status
Published
Date Publish Online
2018-10-05