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Ontology-Based Knowledge Representation for Agricultural Intelligent Information Systems

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4 Author(s)
Wei Yuanyuan ; Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China ; Wang Rujing ; Wang Xue ; Hu Yimin

This paper introduces an agricultural intelligent information system knowledge representation based on ontology. Knowledge representation plays a primary role in agricultural intelligent information system as a knowledge-based system. Based on knowledge characteristics of agricultural intelligent information system, a knowledge representation method is presented in this paper. It has a knowledge structure base on frame knowledge unit and solving knowledge unit, and adopts ontology as knowledge describing language. The knowledge organization is implemented by the mapping between knowledge level and ontology level. This approach provides a great level of knowledge interoperability and knowledge sharing.

Published in:
Management and Service Science (MASS), 2010 International Conference on

Date of Conference: 24-26 Aug. 2010

Page(s):
1 - 4
E-ISBN :
978-1-4244-5326-9
Print ISBN:
978-1-4244-5325-2
INSPEC Accession Number:
11539774
Conference Location :
Wuhan
Digital Object Identifier :
10.1109/ICMSS.2010.5577004
Product Type:
Conference Publications

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