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BUILDING AND QUERYING SOIL ONTOLOGY FOR AGRICULTURE

KrishiKosh

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Title BUILDING AND QUERYING SOIL ONTOLOGY FOR AGRICULTURE
M Sc
 
Creator Manoranjan Das
 
Contributor P. K. Malhotra
 
Subject diseases, cucumbers, fungicides, fruits, fungi, biological phenomena, planting, land resources, pseudoperonospora cubensis, vegetables
 
Description T-8360
Soil Taxonomy is based on soil properties that can be objectively observed and
measured. 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. Ontologies define
domain concepts and the relationships between them, and thus provide a domain
language that is meaningful to both humans and machines. The relationships in
Ontology are explicitly named and developed with specification of rules and
constraints so that they reflect the context of domain for which the knowledge is
modeled. Ontologies can be built by using various GUI based software tools, known
as Ontology editors. Among all editors Protégé [Gennari et al., 2003; Golbeck et al.,
2003] is widely supported by a huge research community. For effective use of
Ontology, protégé provides a query interface known as SPARQL query panel.
SPARQL is a syntactically-SQL-like language for querying RDF graphs [Clark,
2008]. Soil ontology developed for USDA soil taxonomy will be helpful for study of
soil taxonomy and classification of new soils. Soil Ontology is built in the Protégé
OWL editor from Order to Sub group level. Using this soil ontology, a query
interface can be developed that will help detailed study of soil taxonomy,
classification of new soil as well as exchange knowledge between software agents
and systems.
 
Date 2016-10-24T15:15:19Z
2016-10-24T15:15:19Z
2010
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/81551
 
Format application/pdf
 
Publisher IARI, INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE