Proceedings-Artikel
Towards Ontological Blending
Joana Hois; Oliver Kutz; Till Mossakowski; John A. Bateman
In: Darina Dicheva; Danail Dochev (Hrsg.). Artificial Intelligence: Methodology, Systems, and Applications. Proceedings. Artificial Intelligence: Methodology, Systems, and Applications (AIMSA-10), 14th International Conference, September 8-10, Varna, Bulgaria, Pages 263-264, Lecture Notes in Computer Science (LNCS), Vol. 6304, Springer Verlag, Berlin, 2010.
Abstract
We introduce ontological blending as a new method for combining ontologies. In contrast to other combination techniques that aim at integrating or assimilating categories and relations of thematically closely related ontologies, blending aims at `creatively' generating new categories and ontological definitions on the basis of input ontologies whose domains are thematically distinct but whose specifications share structural or logical properties. As a result, ontological blending can generate new ontologies and concepts and it allows a more flexible technique for ontology combination than existing methods. The approach is inspired by conceptual blending in cognitive science, and draws on methods from ontological engineering, algebraic specification, and computational creativity in general.