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dc.contributor.authorSoylu, Ahmet
dc.contributor.authorGiese, Martin
dc.contributor.authorJiménez-Ruiz, Ernesto
dc.contributor.authorKharlamov, Evgeny
dc.contributor.authorZheleznyakov, Dmitriy
dc.contributor.authorHorrocks, Ian
dc.date.accessioned2018-03-05T09:18:56Z
dc.date.available2018-03-05T09:18:56Z
dc.date.created2016-04-29T11:22:55Z
dc.date.issued2016
dc.identifier.citationUniversal Access in the Information Society. 2016, 1-33.nb_NO
dc.identifier.issn1615-5289
dc.identifier.urihttp://hdl.handle.net/11250/2488486
dc.description.abstractValue creation in an organisation is a time-sensitive and data-intensive process, yet it is often delayed and bounded by the reliance on IT experts extracting data for domain experts. Hence, there is a need for providing people who are not professional developers with the flexibility to pose relatively complex and ad hoc queries in an easy and intuitive way. In this respect, visual methods for query formulation undertake the challenge of making querying independent of users’ technical skills and the knowledge of the underlying textual query language and the structure of data. An ontology is more promising than the logical schema of the underlying data for guiding users in formulating queries, since it provides a richer vocabulary closer to the users’ understanding. However, on the one hand, today the most of world’s enterprise data reside in relational databases rather than triple stores, and on the other, visual query formulation has become more compelling due to ever-increasing data size and complexity—known as Big Data. This article presents and argues for ontology-based visual query formulation for end-users; discusses its feasibility in terms of ontology-based data access, which virtualises legacy relational databases as RDF, and the dimensions of Big Data; presents key conceptual aspects and dimensions, challenges, and requirements; and reviews, categorises, and discusses notable approaches and systems.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleOntology-based end-user visual query formulation: Why, what, who, how, and which?nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber1-33nb_NO
dc.source.journalUniversal Access in the Information Societynb_NO
dc.identifier.doi10.1007/s10209-016-0465-0
dc.identifier.cristin1353157
dc.relation.projectEU/FP7-318338nb_NO
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Universal Access in the Information Society]. The final authenticated version is available online at: https://link.springer.com/article/10.1007%2Fs10209-016-0465-0nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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