Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5703
Title: Querying the Data Web –the MashQL Approach
Authors: Jarrar, Mustafa
Marios, Dikaiakos
Keywords: Query Formulation
Semantic Web
Data Web
RDF
SPARQL
Indexing Methods
Query Optimization
Mashup
Linked data
Semantic web
Data Web
Mashups (World Wide Web)
Web 3.0
Web 2.0
Languages,Query-by-Diagram
Query Pipelines
QUERY (Information retrieval system)
Querying (Computer science) - Computer programs
Computer Communication Networks
Linked data
Semantic Web
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
URI: http://hdl.handle.net/20.500.11889/5703
ISBN: 1089-7801
Appears in Collections:Fulltext Publications

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