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Issue No.03 - May/June (2010 vol.14)
pp: 58-67
Mustafa Jarrar , University of Birzeit, Palestine
Marios D. Dikaiakos , University of Cyprus
ABSTRACT
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.
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
REFERENCES
1. M. Jarrar and M. Dikaiakos, Querying the Data Web, tech. report TR-08-04, Dept. Computer Science, Univ. of Cyprus, Nov. 2008; www.cs.ucy.ac.cy/~mjarrarTAR200904.pdf.
2. M. Jarrar and M. Dikaiakos, "A Data Mashup Language for the Data Web," Proc. Linked Data on the Web Workshop (LDOW2009), CEUR Workshop Proceedings, 2009; http://ceur-ws.org/Vol-538ldow2009_paper14.pdf .
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6. S. Nestorov et al., "Representative Objects: Concise Representations of Semistructured, Hierarchical Data," Proc. 13th Int'l Conf. Data Eng., IEEE CS Press, 1997, pp. 79–90.
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