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.
Professor Web Science/Human-Centered Computing
Freie Universität Berlin
http://www.mi.fu-berlin.de/inf/groups/hcc
Claudia Müller-Birn is the head of the research group Human-Centered Computing (HCC.lab) at the Institute of Computer Science at the Freie Universität Berlin and member of the Cluster of Excellence Image Knowledge Gestaltung - An Interdisciplinary Laboratory at the Humboldt-Universität zu Berlin. Her research is in the field of Computer-Supported Cooperative Work and Social Computing.
