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Towards Ontological Blending
Type of publication: Inproceedings
Citation: HoisKMB10
Booktitle: Artificial Intelligence: Methodology, Systems, and Applications, 14th International Conference, AIMSA 2010, Varna, Bulgaria, September 8-10. 2010. Proceedings
Series: Lecture Notes in Computer Science
Volume: 6304
Year: 2010
Pages: 263-264
Publisher: Springer
DOI: 10.1007/978-3-642-15431-7_28
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.
Userfields: bdsk-url-1={http://dx.doi.org/10.1007/978-3-642-15431-7_28}, project={I1-OntoSpace}, status={Reviewed},
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Authors Hois, Joana
Kutz, Oliver
Mossakowski, Till
Bateman, John A.
Editors Dicheva, Darina
Dochev, Danail
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