Abderrahmane Khiat, Maximilian Mackeprang and Claudia Müller-Birn

Research & Innovation

OntoIdea: Ontology-based Approach for Enhancing Collaborative Ideation

Enhancing creativity has been paid much attention recently, especially with the emergence of online collaborative ideation. Prior work has shown that in addition to the exposure of diverse and creative examples, visualizing the solution space enables ideators to be inspired and thus, come-up with more creative ideas. However, existing automated approaches which assess the diversity of a set of examples fail on unstructured short text due to their reliance on similarity computation. Furthermore, the conceptual divergence cannot be easily captured for such representation. To overcome these issues, in this paper we introduce an ontology-based approach. The proposed solution formalizes user ideas into ontology-based concepts and then an ontology matching system is used to compute the similarity between users' ideas. Based on this approach, we aim also to create a visualization of the solution space based on the similarity matrix obtained by matching process between all ideas.