OptiqueVQS
Ahmet Soylu, Martin A. Giese, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov, Ian Horrocks · 2013
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.