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Title: Querying the Data Web –the MashQL Approach
Authors: Jarrar, Mustafa
Marios, Dikaiakos
Keywords: Query Formulation
Semantic Web
Data Web
Indexing Methods
Query Optimization
Linked data
Semantic web
Data Web
Mashups (World Wide Web)
Web 3.0
Web 2.0
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
ISBN: 1089-7801
Appears in Collections:Fulltext Publications

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