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Performance Improvement in Ontology based Semantic Web using Multi-level Cache


  • Department of Computer Science and Engineering, SRM University, Chennai - 603203, Tamil Nadu, India


Objective: The objective of the paper is to improve the performance of semantic web in a Hadoop environment. An analysis of the ontology and the improvement in the role of cache played a major part in the performance improvement. Methods: Ontology describes a formal specification of certain domain. Existing platform and servers are unable to process different types of data. Hence, it is better to have an effective large number of ontology in the web. Hadoop platform helps in implementing the incremental and distributed ontologies over and above existing ontologies in Semantic Web. One of the major challenges recorded while deploying the semantic technologies is the performances degradation of triple stores. Findings: A framework is proposed in order to improve the performance of Web applications which is relational databasebacked. When implemented effectively, it provides a strong base to semantic computations. Application: We all know that inherent speed difference between disk and the processor can be reduced by File caching mechanism and hence Multilevel cache helped in improving the performance of semantic web.


Big Data, Hadoop, Multilevel-Cache, Ontology Reasoning, RDF, Semantic Web.

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