Web based software for the study of USDA soil taxonomy and classification of newly found soil
799 / 228
Keywords:
Ontology, OWL, USDA Soil Taxonomy, WebProtégéAbstract
United States Department of Agriculture (USDA) Soil Taxonomy is based on soil properties that can be objectively observed and measured in the natural conditions as they exist today. There are many soil classification systems but USDA Soil Taxonomy is most accepted worldwide. Ontologies are the new form of knowledge representation that acts in synergy with agents and Semantic Web Architecture. Soil ontology developed for USDA soil taxonomy has been used to develop a query interface that will help in detailed study of soil taxonomy, classification of new soil as well as exchange knowledge between software agents and systems. This is a web based application having N-tier architecture. Application development environment is NetBeans 6.9 editor and Protégé. Web development technology is Java Server Pages (JSP). Programming languages JAVA and SPARQL are used for querying. Client interface is developed with Hyper Text Markup Language (HTML), Cascading Style Sheet (CSS) and JavaScript. Third tier of software consist of database which is in MS-SQL server 2005. Other two layers are Web Ontology Language (OWL) Ontology layer and Semantic Web Framework layer. OWL layer contains soil taxonomy information in the form of Ontology. Semantic Web Framework layer is implemented using JENA. In the search panel user can search anything related to USDA Soil Taxonomy, which comprises of twelve orders. However, this software contains information about seven soil orders reported in India. Domain experts can see and edit the knowledge base (i.e. Soil Ontology) or can suggest anything related to the creation of Soil Taxonomy Ontology through WebProtégé.
Downloads
References
Berners-Lee T, Hendler J and Lassila O. 2001. The Semantic Web. Scientific American 284 (5): 34–43. DOI: https://doi.org/10.1038/scientificamerican0501-34
Clark K. 2008. SPARQL Protocol for RDF, W3C Recommendation, http://www.w3.org/TR/rdf-sparql-protocol/.
Das M. 2010. ‘Building and querying soil ontology for agriculture.’ M Sc thesis, IARI, New Delhi.
Smith M K, Welty C, and McGuinness D L. 2004. OWL Web Ontology Language Guide (W3C Recommendation). http:// www.w3.org/TR/owl-guide/.
Sehgal J. 1996. Pedology Concepts and Applications. Kalyani Publishers, Ludhiana.
Soil Survey Staff. 2010. Keys to Soil Taxonomy, 11th Edition. United States Department of Agriculture, -Natural Resources Conservation Service, Washington, DC.
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2014 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.