Ontological Blending in DOL

Oliver Kutz; Till Mossakowski; Joana Hois; Mehul Bhatt; John Bateman

In: Computational Creativity, Concept Invention, and General Intelligence - 1st International Workshop. International Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI-12), First, located at ECAI 2012, August 27, Montpellier, France, Publication Series of the Institute of Cognitive Science , 2012.


We introduce ontological blending as a method for com- bining ontologies. Compared with existing combination techniques that aim at integrating or assimilating categories and relations of the- matically related ontologies, blending aims at creatively generating (new) categories and ontological definitions; this is done on the ba- sis 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 compared to existing methods. Our approach to computational creativity in conceptual blending is inspired by methods rooted in cognitive science (e.g., analogical rea- soning), ontological engineering, and algebraic specification. Specifically, we introduce the basic formal definitions for ontological blend- ing, and show how the distributed ontology language DOL (currently being standardised within the OntoIOp—Ontology Integration and Interoperability—activity of ISO/TC 37/SC 3) can be used to declar- atively specify blending diagrams.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence