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Article type: Research Article
Authors: Soylu, Ahmeta; * | Kharlamov, Evgenyb | Zheleznyakov, Dmitriyb | Jimenez-Ruiz, Ernestoc | Giese, Martinc | Skjæveland, Martin G.c | Hovland, Dagc | Schlatte, Rudolfc | Brandt, Sebastiand | Lie, Hallsteine | Horrocks, Ianb
Affiliations: [a] Department of Computer Science, Norwegian University of Science and Technology, Gjøvik, Norway. E-mail: [email protected] | [b] Department of Computer Science, University of Oxford, Oxford, UK. E-mails: [email protected], [email protected], [email protected] | [c] Department of Informatics, University of Oslo, Oslo, Norway. E-mails: [email protected], [email protected], [email protected], [email protected], [email protected] | [d] Corporate Technology, Research and Technology Center, Siemens AG, Munich, Germany. E-mail: [email protected] | [e] Statoil ASA, Stavanger, Norway. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: An important application of semantic technologies in industry has been the formalisation of information models using OWL 2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data can be virtualised as RDF using ontologies following the ontology-based data access (OBDA) approach. In all these applications, it is important to provide domain experts with query formulation tools for expressing their information needs in terms of queries over ontologies. In this work, we present such a tool, OptiqueVQS, which is designed based on our experience with OBDA applications in Statoil and Siemens and on best HCI practices for interdisciplinary engineering environments. OptiqueVQS implements a number of unique techniques distinguishing it from analogous query formulation systems. In particular, it exploits ontology projection techniques to enable graph-based navigation over an ontology during query construction. Secondly, while OptiqueVQS is primarily ontology driven, it exploits sampled data to enhance selection of data values for some data attributes. Finally, OptiqueVQS is built on well-grounded requirements, design rationale, and quality attributes. We evaluated OptiqueVQS with both domain experts and casual users and qualitatively compared our system against prominent visual systems for ontology-driven query formulation and exploration of semantic data. OptiqueVQS is available online and can be downloaded together with an example OBDA scenario.
Keywords: Visual query formulation, OWL 2 ontologies, RDF data, SPARQL queries, data retrieval, usability
DOI: 10.3233/SW-180293
Journal: Semantic Web, vol. 9, no. 5, pp. 627-660, 2018
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