Title :
Querying the Data Web: The MashQL Approach
Author :
Jarrar, Mustafa ; Dikaiakos, Marios D.
Author_Institution :
Univ. of Birzeit, Bir Zeit, Palestinian Authority
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 the fact that being a language, not merely an interface (and simultaneously schema-free), MashQL faces a particular set of challenges. In particular, the authors propose and evaluate a novel technique for optimizing queries over large data sets to allow instant user interaction.
Keywords :
SQL; distributed databases; query formulation; query processing; MashQL approach; data Web query; data sets; query formulation language; query optimization; user interaction; Data structures; Mashups; Internet; Query formulation; RDF and SPARQL; Semantic Web; data Web; graph databases; indexing methods;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2010.75