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Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies

 

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Author: Borrego Díaz, Joaquín
Chávez González, Antonia María
Coordinator/Director: da Costa, Paulo Cesar G.
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2008
Published in: Uncertainty Reasoning for the Semantic Web I : ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers
ISBN/ISSN: 978-3-540-89764-4
0302-9743
Document type: Chapter of Book
Abstract: A logical formalism to support the insertion of uncertain concepts in formal ontologies is presented. It is based on the search of extensions by means of two automated reasoning systems (ARS), and it is driven by what we call cognitive entropy.
Cite: Borrego Díaz, J., y Chávez González, A.M. (2008). Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies. En P.C.G. da Costa (Ed.), Uncertainty Reasoning for the Semantic Web I : ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers (pp. 315-329). Berlín: Springer
Size: 718.3Kb
Format: PDF

URI: https://hdl.handle.net/11441/75250

DOI: 10.1007/978-3-540-89765-1_18

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