DocumentCode :
151502
Title :
Performance analysis on agriculture ontology using SPARQL query system
Author :
Khamparia, Aditya ; Pandey, Bishwajeet ; Pardesi, Vikas
Author_Institution :
Dept. of Comput. Sci. & Eng., Lovely Prof. Univ., Phagwara, India
fYear :
2014
fDate :
5-6 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Ontologies are used to represent domain knowledge with help of object, their behaviour and properties. This paper represents web enabled approach on agriculture semantic web using SPARQL and specified tools to increase productivity of farmers. This work focuses on assessment of query optimization tools and results predicted from them to determine the suitability of each method for different users where structured ontologies are used as querying aids for agriculture based dataset.
Keywords :
SQL; agricultural engineering; agriculture; ontologies (artificial intelligence); query processing; semantic Web; SPARQL query system; Web enabled approach; agriculture based dataset; agriculture ontology; agriculture semantic web; domain knowledge; productivity; query optimization tools; structured ontologies; Agriculture; Diseases; Information retrieval; Knowledge based systems; Ontologies; Resource description framework; DL-Query; Ontograf; RDF; Reasoner; SPARQL; Semantic web; TLX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-4675-4
Type :
conf
DOI :
10.1109/ICDMIC.2014.6954258
Filename :
6954258
Link To Document :
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