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- W2732243586 abstract "In the modern generation of “Semantic Web Data”, cloud data services play a important role. These services are based on the MapReduce Programming Model. Hadoop is an open source implementation of MapReduce. Hadoop based extensions such as PIG and HIVE are query languages which provide high level data flow. Although SPARQL is considered as the backbone of the semantic web based applications but in this paper we introduce HIVE and PIG for querying RDF data. The goal of the paper is to compare the results of SPARQL, HIVE and PIG and analyze the retrieval time for a query in RDF data." @default.
- W2732243586 created "2017-07-14" @default.
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- W2732243586 date "2017-01-01" @default.
- W2732243586 modified "2023-10-02" @default.
- W2732243586 title "Comparison and Analysis of RDF Data Using SPARQL, HIVE, PIG in Hadoop" @default.
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- W2732243586 doi "https://doi.org/10.1007/978-981-10-3935-5_37" @default.
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