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RDF is a widely-accepted framework for describing metadata in the web due to its simplicity and universal graphlike data model. Owing to the abundance of RDF data, existing query techniques are rendered unsuitable. To this direction, we adopt the processing power of Apache Spark to load and query a large dataset much more quickly than classical approaches. In this paper, we have designed experiments to evaluate the performance of several queries ranging from single attribute selection todoi:10.14569/ijacsa.2019.0100874 fatcat:lolh5mvrhrgttjdfm3uqbrqdam