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

fYear

2011

fDate

3-5 June 2011

Firstpage

283

Lastpage

286

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CSNT.2011.68

Filename

5966454