Ontology based semantic web on Hadoop platform

In recent times size of the data is increasing rapidly. Existing centralized system is not able to handle large dataset beyond a certain limit. So, we need ontology based approach in Semantic Web and distributed system. Ontology describes a formal specification of certain domain. Existing platform and servers are unable to process different types of data like structured, semi-structured and quasi-structured data to have an effective large number of ontologies in the web. We need the Hadoop platform to implement the incremental and distributed ontologies over and above existing ontologies in Semantic Web. RDF is the basic representation of ontologies and it is used to describe the knowledge in the Semantic Web. The challenges is using RDF include structure of RDF and the memory that is needed for the incremental comparison. MapReduce is one of the main Hadoop components are needed during the mapping of ontologies in the Semantic Web using RDF. In this paper better way of using incremental RDF in Semantic Web is discussed.