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Ontology-Based Integration of Streaming and Static Relational Data with Optique

Kharlamov, E., Brandt, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 , Kotidis, Y., Lamparter, S., Mailis, T., Neuenstadt, C., Oezcep, O., Pinkel, C., Svingos, C., Zheleznyakov, D., Horrocks, I., Ioannidis, Y. & Moeller, R. (2016). Ontology-Based Integration of Streaming and Static Relational Data with Optique. In: SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data. doi: 10.1145/2882903.2899385


An important application of semantic technologies in industry has been the formalisation of information models usingOWL 2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data can be virtualised asRDF using ontologies following the ontology-based data access (OBDA) approach. In all these applications, it is important toprovide domain experts with query formulation tools for expressing their information needs in terms of queries over ontologies. Inthis work, we present such a tool, OptiqueVQS, which is designed based on our experience with OBDA applications in Statoil andSiemens and on best HCI practices for interdisciplinary engineering environments. OptiqueVQS implements a number of uniquetechniques distinguishing it from analogous query formulation systems. In particular, it exploits ontology projection techniquesto enable graph-based navigation over an ontology during query construction. Secondly, while OptiqueVQS is primarily ontologydriven, it exploits sampled data to enhance selection of data values for some data attributes. Finally, OptiqueVQS is built onwell-grounded requirements, design rationale, and quality attributes. We evaluated OptiqueVQS with both domain experts andcasual users and qualitatively compared our system against prominent visual systems for ontology-driven query formulation andexploration of semantic data. OptiqueVQS is available online and can be downloaded together with an example OBDA scenario.

Publication Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Science & Technology > Computer Science
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