Title :
Research on Agricultural Information Retrieve Based on Neural Networks and Ontology
Author :
Wenqing, Zhang ; Yuan, Li ; Yong, Liao
Author_Institution :
Sch. of Literature & Media Transm., Shijiazhuang Univ., Shijiazhuang, China
Abstract :
In order to effectively achieve acquisition and sharing of agricultural science knowledge under the open environment, and improve the intelligence of system, the neural network and ontology technology are used to improve the current agricultural information retrieval system, neural network technology is used for collection of agricultural information, the ontology technology is used to integrate a variety of heterogeneous agricultural knowledge. The practice has proved that the improved agricultural information retrieve system has greatly improved the accuracy and reliability of retrieve, and realized intelligence and high accuracy of agricultural information retrieve.
Keywords :
agricultural engineering; information retrieval; knowledge acquisition; knowledge management; neural nets; ontologies (artificial intelligence); reliability; agricultural information retrieval system; agricultural science knowledge acquisition; agricultural science knowledge sharing; heterogeneous agricultural knowledge integration; neural networks; ontology technology; open environment; reliability improvement; system intelligence improvement; Agriculture; Cognition; Knowledge based systems; Ontologies; Semantics; agricultural information; neural networks; ontology; retrieve;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.68