QueryVOWL: Visual Composition of SPARQL Queries

  • Florian Haag
  • Steffen Lohmann
  • Stephan Siek
  • Thomas Ertl
Conference paper

DOI: 10.1007/978-3-319-25639-9_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)
Cite this paper as:
Haag F., Lohmann S., Siek S., Ertl T. (2015) QueryVOWL: Visual Composition of SPARQL Queries. In: Gandon F., Guéret C., Villata S., Breslin J., Faron-Zucker C., Zimmermann A. (eds) The Semantic Web: ESWC 2015 Satellite Events. ESWC 2015. Lecture Notes in Computer Science, vol 9341. Springer, Cham

Abstract

In order to make SPARQL queries more accessible to users, we have developed the visual query language QueryVOWL. It defines SPARQL mappings for graphical elements of the ontology visualization VOWL. In this demo, we present a web-based prototype that supports the creation, modification, and evaluation of QueryVOWL graphs. Based on the selected SPARQL endpoint, it provides suggestions for extending the query, and retrieves IRIs and literals according to the selections in the QueryVOWL graph. In contrast to related work, SPARQL queries can be created entirely with visual elements.

Keywords

Visual querying QueryVOWL VOWL SPARQL RDF OWL Visualization Linked data Semantic web 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Florian Haag
    • 1
  • Steffen Lohmann
    • 1
  • Stephan Siek
    • 1
  • Thomas Ertl
    • 1
  1. 1.Institute for Visualization and Interactive SystemsUniversity of StuttgartStuttgartGermany

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