This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Querying the Data Web: The MashQL Approach
May/June 2010 (vol. 14 no. 3)
pp. 58-67
ASCII Text
x 
 
Mustafa Jarrar, Marios D. Dikaiakos, "Querying the Data Web: The MashQL Approach," IEEE Internet Computing, vol. 14, no. 3, pp. 58-67, May/June, 2010.
 
 
BibTex
x
 
@article{ 10.1109/MIC.2010.75,
author = {Mustafa Jarrar and Marios D. Dikaiakos},
title = {Querying the Data Web: The MashQL Approach},
journal ={IEEE Internet Computing},
volume = {14},
number = {3},
issn = {1089-7801},
year = {2010},
pages = {58-67},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2010.75},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Querying the Data Web: The MashQL Approach
IS - 3
SN - 1089-7801
SP58
EP67
EPD - 58-67
A1 - Mustafa Jarrar,
A1 - Marios D. Dikaiakos,
PY - 2010
KW - Query formulation
KW - Semantic Web
KW - data Web
KW - RDF and SPARQL
KW - indexing methods
KW - graph databases
KW - Internet
VL - 14
JA - IEEE Internet Computing
ER -
 
Mustafa Jarrar, University of Birzeit, Palestine
Marios D. Dikaiakos, University of Cyprus
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.

1. M. Jarrar and M. Dikaiakos, Querying the Data Web, tech. report TR-08-04, Dept. Computer Science, Univ. of Cyprus, Nov. 2008; www.cs.ucy.ac.cy/~mjarrarTAR200904.pdf.
2. M. Jarrar and M. Dikaiakos, "A Data Mashup Language for the Data Web," Proc. Linked Data on the Web Workshop (LDOW2009), CEUR Workshop Proceedings, 2009; http://ceur-ws.org/Vol-538ldow2009_paper14.pdf .
3. R. Miller, "Response Time in Man-Computer Conversational Transactions," Proc. December 9-11, 1968, Fall Joint Computer Conf., Part I, ACM Press, 1968, pp. 267–277.
4. E.I. Chong et al., "An Efficient SQL-Based RDF Querying Scheme," Proc. 31st Int'l Conf. Very Large Data Bases, VLDB Endowment, 2005, pp. 1216–1227.
5. T. Neumann and G. Weikum, "The RDF-3X Engine for Scalable Management of RDF Data," VLDB J., vol. 19, no. 1, 2010, pp. 91–113.
6. S. Nestorov et al., "Representative Objects: Concise Representations of Semistructured, Hierarchical Data," Proc. 13th Int'l Conf. Data Eng., IEEE CS Press, 1997, pp. 79–90.

Index Terms:
Query formulation, Semantic Web, data Web, RDF and SPARQL, indexing methods, graph databases, Internet
Citation:
Mustafa Jarrar, Marios D. Dikaiakos, "Querying the Data Web: The MashQL Approach," IEEE Internet Computing, vol. 14, no. 3, pp. 58-67, May-June 2010, doi:10.1109/MIC.2010.75
Usage of this product signifies your acceptance of the Terms of Use.