Title :
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
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;
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
DOI :
10.1109/ICMSS.2010.5577004
