Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce

@inproceedings{Husain2009StorageAR,
  title={Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce},
  author={Mohammad Farhan Husain and Pankil Doshi and Latifur Khan and Bhavani M. Thuraisingham},
  booktitle={CloudCom},
  year={2009}
}
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. In this paper, we describe a framework that we built using Hadoop to store and retrieve large number of RDF triples. We describe our schema to store RDF data in Hadoop Distribute File System. We also present our algorithms to answer a SPARQL query. We make use of Hadoop’s MapReduce framework to actually answer the queries. Our… CONTINUE READING
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