Title :
A Framework for Agriculture Ontology Development in Semantic Web
Author :
Bansal, Nishu ; Malik, Sanjay Kumar
Author_Institution :
Univ. Sch. of Inf. Technol., GGS Indraprastha Univ., Delhi, India
Abstract :
Existing Ontologies in the area of agriculture may be unable to provide individual farmers with desired level of information. Therefore, a framework needs to be built which not only provides relevant but contextual as well as scientifically correct information regarding crop production life cycle. In the proposed research work, AGROVOC is used as base vocabulary to develop the proposed ontology (CROPont).AGROVOC vocabulary developed by Food and Agriculture Organization is used for indexing and retrieving data in agricultural information systems.
Keywords :
crops; indexing; information retrieval; ontologies (artificial intelligence); product life cycle management; production engineering computing; semantic Web; vocabulary; AGROVOC; CROPont; agricultural information systems; agriculture ontology development; base vocabulary; crop production lifecycle; data indexing; data retrieval; food and agriculture organization; semantic Web; Agriculture; Databases; Ontologies; Production; Semantic Web; Semantics; Thesauri; Expert Knowledge Bank; Farmers; Ontology; Semantic Web;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2011 International Conference on
Conference_Location :
Katra, Jammu
Print_ISBN :
978-1-4577-0543-4
Electronic_ISBN :
978-0-7695-4437-3
DOI :
10.1109/CSNT.2011.68
