swMATH ID: 26466
Software Authors: A. Soylu; M. Giese; E. Jiménez-Ruiz; G. Vega-Gorgojo; I. Horrocks
Description: OptiqueVQS: Ontology-based Visual Querying. 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. In this paper, we demonstrate an ontology-based visual query system, namely OptiqueVQS, which we have been developing for end users within a large industrial project.
Homepage: https://pdfs.semanticscholar.org/2903/d0621bdd7cdc68df8852848ff91bee72c16e.pdf
Related Software: SPARQL; word2vec; R2RML; RDF123; QueryVOWL; LODeX; ViziQuer; NITELIGHT; iSPARQL; SPARQLGraph; Colt; SemTK; RDF2vec; BERT; DBpedia; node2vec; Tensor2Tensor; t-SNE; HermiT; Scikit
Cited in: 3 Documents

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