Please use this identifier to cite or link to this item:
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
Citation: 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

Files in This Item:
File Description SizeFormat 
JD10a.pdfArticle846.89 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.