Research on Intelligent Searching of Agricultural Information Based on Ontology
Computer Science & Service System（2012）
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.
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Key words
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 information,intelligent searching,ontology,
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