DocumentCode :
3592518
Title :
Ontology Capture Based on Granular Computing
Author :
Qiu, Taorong ; Chen, Xiaoqing ; Huang, Houkuan ; Liu, Qing
Author_Institution :
Dept. of Comput., Nanchang Univ.
Volume :
1
fYear :
2006
Firstpage :
770
Lastpage :
774
Abstract :
Ontology capture is a key topic in constructing an ontology, and it is a procedure of knowledge acquisition. In this paper, by applying the principle of granular computing, some concepts about information granules, including domain feature information granule, domain object information granule, were defined, the context of the domain ontology may be granulated. A domain granule and a domain granule lattice were presented. An algorithm of generating the domain granule lattice was proposed, and was illustrated by a real example. With the domain granule lattice, ontology capture can be fulfilled. Therefore, granular computing should be of great help in representing and constructing an ontology
Keywords :
knowledge acquisition; ontologies (artificial intelligence); domain feature information granule; domain granule lattice; domain object information granule; granular computing; knowledge acquisition; ontology capture; Computational modeling; Humans; Information processing; Information technology; Knowledge acquisition; Lattices; Machine learning; Ontologies; Problem-solving; Uncertainty; Information granule; granular computing; ontology; ontology capture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.210
Filename :
4021536
Link To Document :
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