Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce

Handling huge amount of data scalably is a matter of concern for a long time. Same is true for semantic web data. Current semantic web frameworks lack this ability. This paper describes a framework that the authors built using Hadoop to store and retrieve large number of RDF triples. This paper describes the schema to store RDF data in Hadoop Distribute File System. The authors also present the algorithms to answer a SPARQL query. The authors make use of Hadoop's MapReduce framework to actually answer the queries.