DocumentCode :
2858187
Title :
Geometry Knowledge Acquisition and Representation on Ontology
Author :
She Li ; Wang Shu-qing
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, the ontology-based geometry knowledge acquisition is presented and the classes, attributes, relations, axioms are acquired by using this method in the field of geometry. Simultaneously, the ontology-based geometry knowledge representation is presented, and the geometry knowledge is turned into this domain ontology by using RDF/OWL form as a base. On it constructs shareable, reusable, extensible geometry ontology to form a relatively complete system of geometry knowledge acquisition and knowledge representation, which can be applied in geometry knowledge base, and can greatly improve the efficiency of knowledge searching and reasoning.
Keywords :
knowledge acquisition; knowledge representation languages; ontologies (artificial intelligence); RDF-OWL form; Web ontology language; knowledge reasoning; knowledge representation; knowledge searching; ontology-based geometry knowledge acquisition; resource description frame; Computational geometry; Computer science; Information geometry; Knowledge acquisition; Knowledge engineering; Knowledge representation; Natural languages; OWL; Ontologies; Resource description framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5365845
Filename :
5365845
Link To Document :
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