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Ontology as Contribution to Delegate Individual Responsibility in Cotton Production in Brazil

Published online by Cambridge University Press:  01 June 2017

C. Santos ,
E. Weschter  and
M. Dota
C. Santos*
Affiliation:
Bacharelado e Sistemas de Informação, Instituto de Ciências Exatas e, Federal University of Mato Grosso, Avenida dos Estudantes, 5055, Parque Sagrada Família, Rondonópolis, Brazil.
E. Weschter
Affiliation:
Bacharelado e Sistemas de Informação, Instituto de Ciências Exatas e, Federal University of Mato Grosso, Avenida dos Estudantes, 5055, Parque Sagrada Família, Rondonópolis, Brazil.
M. Dota
Affiliation:
Bacharelado e Sistemas de Informação, Instituto de Ciências Exatas e, Federal University of Mato Grosso, Avenida dos Estudantes, 5055, Parque Sagrada Família, Rondonópolis, Brazil.
*
†E-mail: clovis.santos.junior@gmail.com
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Abstract

This research has multidisciplinary characteristics with a focus on cotton fiber production and computational solutions to improved data exchange. The research is divided into three parts, the identification of the cotton fiber production processes, the formal ontology for identifying the data classes, and finally the proposal of a specific metadata standard for cotton fiber production. The absence of a specific standard for this segment favors the heterogeneity in the various data sources. The contribution of the research lies in improving the information exchange used in agricultural systems providing identification of each individual responsible for steps in the cotton production chain.

Keywords

ontologytraceabilitymetadata
Type
Information and Decision Support Systems
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 635 - 639
Copyright
© The Animal Consortium 2017 

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References

Aqeel-ur-Rehman 2014. Smart Agriculture: An Approach Towards Better Agriculture Management. OMICS Group eBooks, 2014.CrossRefGoogle Scholar
Coughlin, TM and Linfoot, SL 2010. A novel taxonomy for consumer metadata. International Conference on Consumer Electronics. Las Vegas, NV, USA.CrossRefGoogle Scholar
Cruz, IF, Huiyon, X and Hsu, F 2004. An Ontology-based Framework for XML Semantic Integration. Available in http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.9481&rep=rep1&type=pdf. (Retrieved September 2012).Google Scholar
Gruber, T 1993. A Translation Approach to Portable Ontology Specifications. Available in www.dbis.informatik.hu-berlin.de/dbisold/lehre/WS0203/SemWeb/lit/KSL-92-17.pdf Google Scholar
Inan, H 2010. Data model for the collaboration between land administration systems and agricultural land parcel identification systems. Journal of Environmental Management 91 (12), 2440–2454.CrossRefGoogle Scholar
Lauser, B., Sini, M., Liang, A., Keizer, J and Katz, S 2007. From AGROVOC to the Agricultural Ontology Service/Concept Server An OWL model for creating ontologies in the agricultural domain. http://www.fao.org.Google Scholar
Li, Man, Du, Xiao-Yong and Wang, Shan 2005. Learning Ontology From Relational Database. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Beijing, China.Google Scholar
Nikkilä, R, Seilonen, I and Koskinen, K 2010. Software architecture for farm management information systems in precision agriculture. Computers and Electronics in Agriculture 70 (2), 328–336.CrossRefGoogle Scholar
Pressman, R 2009. Software Engineering: a practitioner’s approach. New York: McGraw-Hill Higher Education, USA.Google Scholar
Richetti, A 2003. Embrapa Algodão, Production Systems, 2. Available in url: http://sistemasdeproducao.cnptia.embrapa.br/FontesHTML/Algodao/AlgodaoCerrado/index.htm. (in Portuguese).Google Scholar
Santana, A 2008. Software Management, Market Study - SEBRAE/ESPM - 2008. Serviço Brasileiro de Apoio às Micro e Pequenas Empresas – Sebrae 2008. (in Portuguese).Google Scholar
Sheth, A 1999. Changing Focus on Interoperability in Information Systems: From System, Syntax, Structure to Semantics. Interoperating Geographic Information Systems. Available: <http://lsdis.cs.uga.edu/lib/download/S98-changing.pdf. (Retrieved August 2012).CrossRefGoogle Scholar
Sofiatti, V 2009. Embrapa Algodão. Algodão em Pluma. Embrapa Informação Tecnológica. Brasília, DF. (in Portuguese).Google Scholar
Sommerville, I 2009. Software Engineering. Pearson Prentice Hall, New Jersey, USA.Google Scholar
Urs, S 2007. Ontology-based Knowledge Organization Systems in Digital Libraries: A Comparison of Experiments in OWL and KAON Ontologies. Available in: http://www.academia.edu/695075/Ontology-Based_Knowledge_Organization_ Systems_in_Digital_Libraries_A_Comparison_of_Experiments_in_OWL_and_KAON_Ontologies. (Retrieved September 2012).Google Scholar