UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1808980


Registration ID:
188001

Page Number

542-551

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Title

SPARQL Query Answering over Cotton Crop Pest Ontology

Abstract

There is a very large amount of data related to agricultural practices being collected via different sources but it is not being used for maximum benefit by the farmers due to lack of mediums for the information to flow and other factors like language differences, lack of technology to access that information etc. Information Communication Technology (ICT) can help to bridge that gap by creating systems that are easier to access and are able to answer basic queries for the farmers that might help them in improving their farming practices that benefits everyone. Such a system should make use of all the data sources available and provide processed information that makes sense to the user. An Agro advisory system is one where farmers and other people associated with agriculture can get automatic recommendations for any and all of their queries. Considering the amount of research and development being done in the field the problem is to distribute that newly found information and research and present it to the end users so that they can leverage the power of ICT to improve their production and ways. We envision a platform where the farmers or other interested parties can get access to that information using a very simple easy to use interface.

Key Words

Ontology, Semantic Web, RESTful services, Agro-advisory system, Service Oriented Architecture, Mobile application

Cite This Article

"SPARQL Query Answering over Cotton Crop Pest Ontology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.542-551, August 2018, Available :http://www.jetir.org/papers/JETIR1808980.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SPARQL Query Answering over Cotton Crop Pest Ontology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp542-551, August 2018, Available at : http://www.jetir.org/papers/JETIR1808980.pdf

Publication Details

Published Paper ID: JETIR1808980
Registration ID: 188001
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 542-551
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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