Abstraction Based Domain Ontology Extraction for Idea Creation

Idea creation is a complicated process in which it requires plenty of knowledge as support for specific domain. Creativity becomes a more and more important feature for idea nowadays when information in various domains is on an explosion. Likewise, it raises the requirement for the amount of domain knowledge as background. Many previous traditional approaches to domain specific idea creation are performed by domain experts based on their personal knowledge storage and manually information research, which are considered to be time consuming, uncreative and out of date prone processes. As a creative knowledge combination activity, idea creation requires a great number of knowledge covers from research to industry in the application domains. The integration of domain ontology and idea creation is a trend in creative computing research area. The introduction of domain ontology based approach into idea creation can bridge the gap between knowledge collection and mental thought, and improve the efficiency and creativity of idea creation. In this paper, we propose an abstraction method to support one of the essential parts in this field - domain ontology extraction. Abstraction techniques are explored, classified, selected and integrated while elements of domain ontology are defined including concepts and relations. Also, a framework and approach is specified for apply the method into domain ontology extraction with designed abstraction rules to support its automation. A case study on idea creation scenario particularly is represented to validate the feasibility and reusability of our proposed method. Furthermore, the mapping rules for transformation from abstracted results to domain ontology are discussed as an initial idea and further work.