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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3872

Title: Modelling object typicality in description logics
Authors: Britz, K
Heidema, J
Meyer, T
Keywords: Object typicality
Description logics
Preferential semantics
Artificial intelligence
Issue Date: Dec-2009
Publisher: Springer Verlag
Citation: Britz, K, Heidema, J and Meyer, T. 2009. Modelling object typicality in description logics. 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), Melbourne, Australia, 1-4 December 2009, pp 506-516
Abstract: The authors present a semantic model of typicality of concept members in description logics (DLs) that accords well with a binary, globalist cognitive model of class membership and typicality. The authors define a general preferential semantic framework for reasoning with object typicality in DLs. They propose the use of feature vectors to rank concept members according to their defining and characteristic features, which provides a modelling mechanism to specify typicality in composite concepts.
Description: Ann E. Nicholson, Xiaodong Li (Eds.): AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009. Proceedings. Lecture Notes in Computer Science, Vol 5866 Springer 2009.
The paper was first presented at the 22 International Workshop on Description Logics (DL 2009), Oxford, UK, 27-30 July 2009
URI: www.springerlink.com.
ISBN: 978-3-642-10438-1
ISSN: 0302-9743
Appears in Collections:Digital intelligence
General science, engineering & technology

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