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Ontology Building And Reasoning Process For Resource Description Framework Data

Authors: Mahesh D. Titiya*, Vipul A. Shah;

Ontology Building And Reasoning Process For Resource Description Framework Data

Abstract

Since last decade, ontology has been widely used in the field of information retrieval, geographical information system, language processing, and web. Each of the fields uses ontology for its own specific purpose. To represent the information in terms of knowledge in semantic web, we use ontology model. In Agriculture, farmers have so many queries regarding crop, soil, cultivation process, disease and pest. To handle these types of queries we need to design well organized data system. Ontology provides data in-terms of knowledge. Using ontology we can get the solution of such queries. We also need query language which can query on ontology. SPARQL query language use for that. The report describes the ontology structure and reasoning process in it. Using reasoning we are able to find the implicit fact from ontology given explicitly stated fact.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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