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building soil ontology up to soil series

KrishiKosh

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Title building soil ontology up to soil series
M C A
 
Creator Chandan kumar deb
 
Contributor P.K. Malhotra
 
Subject RDF, OWL, Protégé, SPARQL, Ontology, Semantic Web, Soil Taxonomy.
 
Description T-8749
Web based softwares which use ontologies as their knowledge base are
gaining importance as they act in synergy with agents and Semantic Web
Architecture. Ontologies define domain concepts and the relationships
between them, and thus provide a domain language that is meaningful to
both humans and machines. For the web, ontology is about the exact
description of web information and relationships between web information.
Taxonomies describe real world concepts in a well-defined hierarchy and
exist in standardized form for numerous domains of knowledge. It is
imperative that ontologies are built in different domains of agriculture that
help to convert unstructured knowledge into structured one that can be
shared across applications. Soil Ontology developed for USDA soil
taxonomy by Das (2010) and Das et al. (2012) for Orders available in India
to only Sub group level has been used to develop a web based application
that now covers all the twelve orders worldwide. The developed soil
ontology is also available now up to Family and Series level. The developed
web based application is having N-tier architecture, developed using
NetBeans 6.9 editor, Protégé, Java Server Pages (JSP) and SPARQL.
Semantic Web Framework layer is implemented using JENA. Information
related to soil taxonomy and newly found soils can be easily classified
according to USDA soil taxonomy by mentioning their properties. Domain
experts can edit or add any new information about the soil taxonomy. By
using Advance Search navigation key one can easily classify a newly found
soil up to series level. This software also facilitates name based search for
all soil taxonomic terms. By using the series navigation key one can easily
get the details information of state wise series description. Other
applications can use its knowledge base as it is in the form of Ontology.
 
Date 2016-08-27T11:27:33Z
2016-08-27T11:27:33Z
2012
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/74060
 
Format application/pdf
 
Publisher IARI , Indian Agricultural Statistics Research Institute