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Title: Querying the data web : the MashQL approach
Authors: Jarrar, Mustafa
Marios, Dikaiakos
Keywords: Query languages (Computer science);Semantic Web;Data structures (Computer science);RDF (Document markup language);SPARQL (Computer program language);Automatic indexing;Querying (Computer science);Linked data;Mashups (World Wide Web);World Wide Web;Web 2.0;Content-based image retrieval;Information storage and retrieval systems;Linked data;Database management
Issue Date: May-2010
Publisher: IEEE Computer Society
Source: Mustafa 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.
Series/Report no.: Volume 14, No. 3;
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 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 interaction
Description: An article published in : IEEE Internet Computing 14(3) : 58-67 (2010)
ISBN: 1089-7801
Appears in Collections:Fulltext Publications

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