Ontology-Based Knowledge Representation for Agricultural Intelligent Information Systems

Author

Wei Yuanyuan ; Wang Rujing ; Wang Xue ; Hu Yimin

Author_Institution

Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

agricultural engineering; information systems; knowledge representation languages; ontologies (artificial intelligence); open systems; production engineering computing; agricultural intelligent information system; knowledge describing language; knowledge interoperability; knowledge sharing; ontology based knowledge representation; Cotton; Fertilizers; Information systems; OWL; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5325-2

Electronic_ISBN

978-1-4244-5326-9

Type

conf

DOI

10.1109/ICMSS.2010.5577004

Filename

5577004