Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/506
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dc.contributor.advisorBhise, Minal
dc.contributor.advisorChaudhary, Sanjay
dc.contributor.authorMordiya, Chetankumar
dc.date.accessioned2017-06-10T14:41:58Z
dc.date.available2017-06-10T14:41:58Z
dc.date.issued2014
dc.identifier.citationMordiya, Chetankumar (2014). Ontology development and query execution for an agro-advisory system. Dhirubhai Ambani Institute of Information and Communication Technology, vi, 61 p. (Acc.No: T00469)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/506
dc.description.abstractIn agriculture domain, farmers have queries regarding crop, soil, climate, cultivation process, disease, and pest. They express their queries in a natural language which are usually answered by agriculture experts. Due to lake of access, distance or time, the expert is usually not present physically to answer all the queries of the farmers. Hence, the farmers may not understand clearly what the experts wanted to convey. In such situation, there is a possibility of communication gap between farmers and knowledge of agriculture experts. It is desirable to capture agriculture experts’ knowledge in a system that understands farmers’ queries appropriately and gives the recommendations for it. An Agro-Advisory System is developed to fulfil these requirements. It is acknowledged based system. The knowledge base is maintained in the form of ontology. Ontology is integrated with services developed for this system. Ontology contains cotton crop knowledge of Gujarat region. Farmers can ask their queries related to cotton crop cultivation by Android device and get recommendations to improve crop productivity. The system is able to send notification and alert to farmers. Thesis work includes development of ontology for the cotton crop model and corresponding SPARQL (Simple Protocol and RDF Query Language) queries are executed on RDF (Resource Description Framework) data. Simple, complex and reasoning based queries are identified during thesis work.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectOntology
dc.subjectComputer software
dc.subjectDevelopment
dc.subjectSoftware architecture
dc.subjectAgro-advisory System
dc.classification.ddc005.74 MOR
dc.titleOntology development and query execution for an agro-advisory system
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201211037
dc.accession.numberT00469
Appears in Collections:M Tech Dissertations

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