Towards Ontological Blending

Joana Hois, Oliver Kutz, Till Mossakowski, John A. Bateman

In: Darina Dicheva , Danail Dochev (Hrsg.). 14th International Conference, AIMSA 2010, Varna, Bulgaria, September 8-10, 2010. Proceedings. International Conference on Artificial Intelligence: Methodology, Systems, and Applications (AIMSA-2010) AI and Knowledge Societies: Learning, Sharing, Amplifying September 8-10 Varna Bulgaria Seiten 263-264 Lecture Notes in Artificial Intelligence (LNAI) 6304 Springer Verlag Berlin 2010.


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.

Weitere Links

aimsa10-blend-short.pdf (pdf, 59 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence