Mobile based data retrieval using RDF and NLP in an efficient approach

Nowadays Youngsters like IT people and various sectors are showing massive interest and moving towards agriculture farming for self sustainable energy for our generation. People are in metro environment with family owned lands they are in need of proper guidance from farmers having huge experience But there is a gap in medium in approaching the farmers by staying with them for months together to get Knowledge Transfer for facing issues and clarifications. The farmers and ancestors traditional methods and subject knowledge need to be transferred to upcoming generations. In Digital world, farmers are using smart phones so to document the knowledge from farmers the Subject Matter Expertise of agriculture (SME) under database and to provide solution by queries in efficient approach through RDF (Resource Description Framework) and Natural Language Processing Technique (NLP) in the form of mobile application internally using SPARQL queries. In this paper, WordNet text mining processing method is used.