Show simple item record

dc.contributor.authorSoylu, Ahmet
dc.contributor.authorKharlamov, Evgeny
dc.contributor.authorZheleznyakov, Dmitriy
dc.contributor.authorJimenez-Ruiz, Ernesto
dc.contributor.authorGiese, Martin
dc.contributor.authorSkjæveland, Martin G
dc.contributor.authorHovland, Dag
dc.contributor.authorSchlatte, Rudolf
dc.contributor.authorBrandt, Sebastian
dc.contributor.authorLie, Hallstein
dc.contributor.authorHorrocks, Ian
dc.date.accessioned2017-11-24T12:11:33Z
dc.date.available2017-11-24T12:11:33Z
dc.date.created2017-01-20T15:31:24Z
dc.date.issued2017
dc.identifier.citationSemantic Web. 2017, 1-28.nb_NO
dc.identifier.issn1570-0844
dc.identifier.urihttp://hdl.handle.net/11250/2468017
dc.description.abstractAn 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.nb_NO
dc.language.isoengnb_NO
dc.publisherIOS Pressnb_NO
dc.relation.urihttp://www.semantic-web-journal.net/content/optiquevqs-visual-query-system-over-ontologies-industry-0
dc.titleOptiqueVQS: a Visual Query System over Ontologies for Industrynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber1-28nb_NO
dc.source.journalSemantic Webnb_NO
dc.identifier.cristin1434163
dc.relation.projectEU/318338nb_NO
dc.relation.projectNorges forskningsråd: 237898nb_NO
dc.description.localcodeThis is the authors' accepted and refereed manuscript to the article. © 0 – IOS Press and the authors. All rights reservednb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record