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