Semi-automatic RDFization of Hindi agricultural words using IndoWordNet

Generation of semantically meaningful ontology of Indian languages based terms, concepts, and their relations specially when talking about Hindi language, becomes a tedious task to approach without any disambiguation, where in a single change of relation, specific individual sub-node of ontology changes. This paper presents an approach for semi-automatic conversion of agricultural Hindi terms, concepts and their relations into structured ontology and processes into subsequent RDFization. Structured format uses its powerful mechanism of inheritance and reasoning capability to inference learning feature of loosely coupled and high bonding between nodes. This increases reusability, enhances data sharing on the web and graphically connected, making data machine readable and interoperable and so on. Hence, linking data which of machine readable format may prove to be of great significance specifically where information and data is highly sharable. This paper explores and collects some unstructured terms, concepts, relations of agriculture domain using IndoWordNet and generates ontology which finally gets converted into RDF/OWL format meeting with accordance of W3C standards.