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

Authors:
Ahmet Soylu;Martin Giese;Ernesto Jimenez-Ruiz;Evgeny Kharlamov;Dmitry Zheleznyakov;Ian Horrocks
Affiliations:
University of Oslo, Oslo, Noway;University of Oslo, Oslo, Noway;University of Oxford, Oxford, UK;University of Oxford, Oxford, UK;University of Oxford, Oxford, UK;University of Oxford, Oxford, UK
Venue:
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Year:
2013

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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.