Title :
Ontology-based Vegetable Supply Chain Knowledge Searching System
Author :
Yue, Jun ; Li, Zhenbo ; Fu, Zetian
Author_Institution :
Coll. of Economic & Manage., China Agric. Univ., Beijing
Abstract :
Representing and organizing knowledge is important for a semantic knowledge searching system. To implement vegetable supply chain knowledge searching, we build three ontologies on the base of our investigation: the vegetable supply chain domain ontology, the user ontology and the knowledge content ontology. And meantimes, a metadata model is set up, we integrate these ontologies and metadata model together by setting up the relationships of these classes. Finally we formalize the metadata by RDF (resource description framework) and implement the searching system on the knowledge database of vegetable supply chain. Through the semantic searching, the users can get more suitable knowledge of vegetable supply chain
Keywords :
agricultural products; food products; meta data; ontologies (artificial intelligence); supply chains; knowledge content ontology; knowledge database; knowledge representation; meta data; resource description framework; semantic knowledge searching system; user ontology; vegetable supply chain domain ontology; Databases; Educational institutions; Information retrieval; Logistics; Morphology; Ontologies; Resource description framework; Supply chain management; Supply chains; World Wide Web;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.211