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Study on Key Technology of Subtropical Characterized Agricultural Intelligent Service System

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2 Author(s)
Shuangyin Liu ; Coll. of Inf., Guangdong Ocean Univ., Zhanjiang, China ; Longqin Xu

In order to solve the universal problems in the field of agricultural technology service system such as the incomplete and separated agricultural knowledge, semantic isomerism of information resource, poor general performance of knowledge models, deficient ability in data analysis and processing, knowledge isolated island, etc., based on the study of agricultural ontology and .NET technology, this article aims at the construction of a shared, reusable and expansible agricultural industry clusters cultivation platform characterized by southern Asian agriculture, and combining detailed cases, researches the systematic platform structure, the expression of agricultural ontology, the innovation mode of industry cluster technology service, the knowledge base construction, the reasoning engine design of various reasoning model integration, and the knowledge sharing and reusability.

Published in:

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on  (Volume:2 )

Date of Conference:

12-14 Dec. 2009