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

Klungre, V. N., Soylu, A., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 , Kharlamov, E. & Giese, M. (2019). Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New Generation Computing, doi: 10.1007/s00354-019-00071-1


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.

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in New Generation Computing. The final authenticated version is available online at:
Publisher Keywords: Visual query system, Ontology projection, Query extensions Indexing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
Text - Accepted Version
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