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Querying the Data Web: The MashQL Approach
May/June 2010 (vol. 14 no. 3)
pp. 58-67
Mustafa Jarrar, University of Birzeit, Palestine
Marios D. Dikaiakos, University of Cyprus
MashQL, a novel query formulation language for querying and mashing up structured data on the Web, doesn't require users to know the queried data's structure or the data itself to adhere to a schema. In this article, the authors address the fact that being a language, not merely an interface (and simultaneously schema-free), MashQL faces a particular set of challenges. In particular, the authors propose and evaluate a novel technique for optimizing queries over large data sets to allow instant user interaction.

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Index Terms:
Query formulation, Semantic Web, data Web, RDF and SPARQL, indexing methods, graph databases, Internet
Citation:
Mustafa Jarrar, Marios D. Dikaiakos, "Querying the Data Web: The MashQL Approach," IEEE Internet Computing, vol. 14, no. 3, pp. 58-67, May-June 2010, doi:10.1109/MIC.2010.75
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