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dc.contributor.authorJarrar, Mustafa
dc.contributor.authorMarios, Dikaiakos
dc.identifier.citationMustafa Jarrar and Marios D. Dikaiakos: Querying the Data Web –the MashQL Approach. IEEE Internet Computing. Volume 14, No. 3. Pages (58-670). IEEE Computer Society, ISSN 1089-7801. May 2010.en_US
dc.descriptionAn article published in : IEEE Internet Computing 14(3) : 58-67 (2010)
dc.description.abstractMashQL, 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 MashQL’s challenges as a language (as opposed to an interface) in assuming data to be schema-free. In particular, they propose and evaluate a novel technique for optimizing queries over large data sets to allow instant user interactionen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofseriesVolume 14, No. 3;
dc.subjectQuery languages (Computer science)en_US
dc.subjectSemantic Weben_US
dc.subjectData structures (Computer science)en_US
dc.subjectRDF (Document markup language)en_US
dc.subjectSPARQL (Computer program language)en_US
dc.subjectAutomatic indexingen_US
dc.subjectQuerying (Computer science)en_US
dc.subjectLinked dataen_US
dc.subjectMashups (World Wide Web)en_US
dc.subjectWorld Wide Weben_US
dc.subjectWeb 2.0en_US
dc.subjectContent-based image retrievalen_US
dc.subjectInformation storage and retrieval systemsen_US
dc.subjectLinked dataen_US
dc.subjectDatabase managementen_US
dc.subject.lcshComputer networks - Management - Computer programs
dc.titleQuerying the data web : the MashQL approachen_US
newfileds.conferenceIEEE Internet Computingen_US
newfileds.general-subjectComputers and Information Technology | الحاسوب وتكنولوجيا المعلوماتen_US
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