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Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing

Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Giese, Martin
Journal article; AcceptedVersion; Peer reviewed
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Klungre2019.pdf (8.248Mb)
Year
2019
Permanent link
http://urn.nb.no/URN:NBN:no-78382

CRIStin
1745491

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  • Institutt for informatikk [3643]
  • CRIStin høstingsarkiv [16887]
Original version
New generation computing. 2019, 37 (4), 361-392, DOI: https://doi.org/10.1007/s00354-019-00071-1
Abstract
Ontology-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.
 
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