OptiqueVQS: towards an ontology-based visual query system for big data

Abstract

A recent EU project, named Optique, with a strong industrial perspective, strives to enable scalable end-user access to Big Data. To this end, Optique employs an ontology-based approach, along with other techniques such as query optimisation and parallelisation, for scalable query formulation and evaluation. In this paper, we specifically focus on end-user visual query formulation, demonstrate our preliminary ontology-based visual query system (i.e., interface), and discuss initial insights for alleviating the affects of Big Data.

DOI: 10.1145/2536146.2536149

Extracted Key Phrases

4 Figures and Tables

0102030201520162017
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Soylu2013OptiqueVQSTA, title={OptiqueVQS: towards an ontology-based visual query system for big data}, author={Ahmet Soylu and Martin Giese and Ernesto Jim{\'e}nez-Ruiz and Evgeny Kharlamov and Dmitriy Zheleznyakov and Ian Horrocks}, booktitle={MEDES}, year={2013} }