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A Relationally Complete Visual Query Language for Heterogeneous Data Sources and Pervasive Querying
Tokyo, Japan April 05-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.1221st International Conference on Data ...
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Stavros Polyviou, George Samaras, Paraskevas Evripidou, "A Relationally Complete Visual Query Language for Heterogeneous Data Sources and Pervasive Querying," Data Engineering, International Conference on, pp. 471-482, 21st International Conference on Data Engineering (ICDE'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDE.2005.12,
author = {Stavros Polyviou and George Samaras and Paraskevas Evripidou},
title = {A Relationally Complete Visual Query Language for Heterogeneous Data Sources and Pervasive Querying},
journal ={Data Engineering, International Conference on},
volume = {0},
year = {2005},
issn = {1084-4627},
pages = {471-482},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.12},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering, International Conference on
TI - A Relationally Complete Visual Query Language for Heterogeneous Data Sources and Pervasive Querying
SN - 1084-4627
SP471
EP482
A1 - Stavros Polyviou,
A1 - George Samaras,
A1 - Paraskevas Evripidou,
PY - 2005
KW - null
VL - 0
JA - Data Engineering, International Conference on
ER -
 
Stavros Polyviou, University of Cyprus
George Samaras, University of Cyprus
Paraskevas Evripidou, University of Cyprus
In this paper we introduce and formally define Query by Browsing (QBB), a scalable, relationally complete visual query language based on the desktop user interface paradigm and tuple relational calculus that allows the formulation of complex queries over relational, entity-relationship, object-oriented and XML data sources on a variety of handheld and desktop platforms. It is to our knowledge the first visual query language to combine the important characteristics of usability, scalability, expressive power and flexibility. We support these claims by demonstrating the similarity of the QBB paradigm to the popular desktop user interface paradigm, by relating it to relational calculus and relational algebra and by describing Chiromancer II, a web-based implementation of the QBB paradigm for handheld devices. We also discuss ways in which non-relational sources can be represented and queried and compare QBB to related work in the area of visual query languages for a variety of data models. We finally offer conclusions and thoughts for future work.
Citation:
Stavros Polyviou, George Samaras, Paraskevas Evripidou, "A Relationally Complete Visual Query Language for Heterogeneous Data Sources and Pervasive Querying," icde, pp.471-482, 21st International Conference on Data Engineering (ICDE'05), 2005
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