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Querying the Semantic Web: An Efficient Approach Using Relational Databases

Artem Chebotko, Shiyong Lu




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 | #8392397 in Books |  2010-05-15 |  2010-05-15 | Original language:English | PDF # 1 |  8.66 x.40 x5.91l,.58 | File type: PDF | 176 pages

||About the Author|Artem Chebotko, PhD: Studied Computer Science at Wayne State U. Asst. Professor at University of Texas – Pan American. Research includes semantic web, scientific workflows, and databases. Shiyong Lu, PhD: Studied Computer Science at Stony

The explosive growth of RDF data on the Semantic Web drives the need for novel database techniques that can efficiently store and query large RDF datasets. To provide good performance and scalability of query processing, many existing RDF stores use an RDBMS as a backend to manage RDF data. The main challenge of this approach is the translation of RDF queries, formulated in the SPARQL query language, into their equivalent relational algebra expressions and SQL queries. I...

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