DocumentCode :
2232349
Title :
Study on image recognition of stored-grain pests knowledge base based on ontology
Author :
Wang, Liqiang ; Zhang, Hongmei
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Volume :
3
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
This article introduced the concept of ontology to knowledge representation of image recognition of stored-grain pests; it focused on the use of ontology to organize and implement the ontology model, and constructed image recognition of stored-grain pests´ knowledge base what could be shared by the expert system. Finally, it basically achieved system framework of the knowledge base.
Keywords :
agricultural products; deductive databases; expert systems; image recognition; ontologies (artificial intelligence); pest control; expert system; image recognition; knowledge base; knowledge representation; ontology model; stored grain pest; Educational institutions; Image recognition; Libraries; Ontologies; image recognition; knowledge base; ontology; stored-grain pests;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579710
Filename :
5579710
Link To Document :
بازگشت