SPARQL Query Optimization for Structural Indexed RDF Data

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Provided by: Indiana University
Topic: Big Data
Format: PDF
Resource description framework, RDF, is a standard language model for representing semantic data. As the concept of semantic Web becomes more viable, the ability to retrieve and exchange semantic data will become increasingly more important. Efficient management of RDF data is one of the key research issues in semantic Web; consequently, many RDF management systems have been proposed with data storage architectures and query processing algorithms for data retrieval. However, most of the proposed approaches require many join operations that result in the unnecessary processing of intermediate results for SPARQL queries.
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