Research on Intelligent Searching of Agricultural Information Based on Ontology

Author

Liying, Duan ; Hongjuan, Li ; Dongbin, He ; Zhe, Wen ; Xuning, Liu

Author_Institution

Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1026

Lastpage

1029

Abstract

The development of network technology provides people with a convenient means of searching information, but to search agricultural information from the network need rapid and accurate assistance. The information searching tool that is designed theoretically by ontology is proposed, and the establishment and application of distributed data acuisition model in the web is used to collect related topics on the extraction of knowledge, through the establishment of searching and reasoning model, the extracted knowledge is classified by the intended users, then achieve the semantic searching, and is classified automatically by neural network. Result has shown that the technique can improve greatly the accuracy and reliability of agriculture information searching.

Keywords

Internet; agriculture; inference mechanisms; information retrieval; knowledge acquisition; neural nets; ontologies (artificial intelligence); World Wide Web; agricultural information searching; distributed data acuisition model; intelligent searching; knowledge classification; knowledge extraction; network technology; neural network; ontology; reasoning model; searching model; semantic searching; Agricultural products; Biological neural networks; Data models; Databases; Ontologies; Semantics; agricultural information; intelligent searching; ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.260

Filename

6394498