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- W2971633328 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." @default.
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- W2971633328 date "2019-09-03" @default.
- W2971633328 modified "2023-09-27" @default.
- W2971633328 title "Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing" @default.
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- W2971633328 doi "https://doi.org/10.1007/s00354-019-00071-1" @default.
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