Title
Study on Key Technology of Subtropical Characterized Agricultural Intelligent Service System
Abstract
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.
Year
DOI
Venue
2009
10.1109/ISCID.2009.286
ISCID (2)
Keywords
Field
DocType
.net technology,reasoning engine design,cultivation platform,information resource,knowledge base construction,industry cluster technology service,knowledge based systems,knowledge isolated island,inference mechanisms,subtropical characterized agricultural intelligent service system,various reasoning model integration,data analysis,expansible agricultural industry cluster,southern asian agriculture,separated agricultural knowledge,knowledge models,subtropical characterized agricultural intelligent,agriculture,knowledge sharing,knowledge representation,systematic platform structure,agricultural technology service system,intelligent service system,knowledge reusability,key technology,ontologies (artificial intelligence),knowledge model,service system,expansible agricultural industry clusters cultivation platform,reasoning model integration,agricultural ontology,knowledge base,industry cluster,engineering design,cognition,ontologies
Ontology (information science),Ontology,Knowledge representation and reasoning,Semantic reasoner,Knowledge sharing,Computer science,Service system,Knowledge management,Knowledge-based systems,Knowledge base
Conference
Volume
ISBN
Citations 
2
978-0-7695-3865-5
1
PageRank 
References 
Authors
0.42
4
2
Name
Order
Citations
PageRank
Shuangyin Liu1305.89
Longqin Xu2344.64