Hide metadata

dc.date.accessioned2020-05-08T19:34:03Z
dc.date.available2020-09-03T22:46:27Z
dc.date.created2019-11-08T16:24:12Z
dc.date.issued2019
dc.identifier.citationKlungre, Vidar Norstein Soylu, Ahmet Jimenez-Ruiz, Ernesto Kharlamov, Evgeny Giese, Martin . Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New generation computing. 2019, 37(4), 361-392
dc.identifier.urihttp://hdl.handle.net/10852/75279
dc.description.abstractOntology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual query system is at any moment responsible for providing the user with query extension suggestions; however, suggestions leading to empty results are often not useful. To this end, in this article, we first present an approach for projecting OWL 2 ontologies into navigation graphs to be used for query formulation and then a solution where an efficient finite index is used to calculate non-ranked approximated extension suggestions for ontology-based visual query systems using navigation graphs. The results of our experiments suggest that one can efficiently project an ontology into a navigation graph, query it for running an interactive user interface, and suggest query extensions that do not lead to dead-ends.
dc.languageEN
dc.titleQuery Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing
dc.typeJournal article
dc.creator.authorKlungre, Vidar Norstein
dc.creator.authorSoylu, Ahmet
dc.creator.authorJimenez-Ruiz, Ernesto
dc.creator.authorKharlamov, Evgeny
dc.creator.authorGiese, Martin
cristin.unitcode185,15,5,80
cristin.unitnameCentre for Scalable Data Access
cristin.ispublishedtrue
cristin.qualitycode1
dc.identifier.cristin1745491
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=New generation computing&rft.volume=37&rft.spage=361&rft.date=2019
dc.identifier.jtitleNew generation computing
dc.identifier.volume37
dc.identifier.issue4
dc.identifier.startpage361
dc.identifier.endpage392
dc.identifier.doihttps://doi.org/10.1007/s00354-019-00071-1
dc.identifier.urnURN:NBN:no-78382
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0288-3635
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/75279/2/Klungre2019.pdf
dc.type.versionAcceptedVersion
dc.relation.projectNFR/237889


Files in this item

Appears in the following Collection

Hide metadata