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ViziQuer: A Web-Based Tool for Visual Diagrammatic Queries Over RDF Data

  • Kārlis Čerāns
  • Agris Šostaks
  • Uldis Bojārs
  • Jūlija Ovčiņņikova
  • Lelde Lāce
  • Mikus Grasmanis
  • Aiga Romāne
  • Artūrs Sproģis
  • Juris Bārzdiņš
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11155)

Abstract

We demonstrate the open source ViziQuer tool for web-based creation and execution of visual diagrammatic queries over RDF/SPARQL data. The tool supports the data instance level and statistics queries, providing visual counterparts for most of SPARQL 1.1 select query constructs, including aggregation and subqueries. A query environment can be created over a user-supplied SPARQL endpoint with known data schema (a data schema exploration service is available, as well). There are pre-defined demonstration query environments for a mini-university data set, a fragment of synthetic similar to reality hospital data set, and a variant of Linked Movie Database RDF data set.

Keywords

Visual query tool Ad-hoc queries Rich queries RDF data SPARQL 

Notes

Acknowledgements

This work has been partially supported by research organization base financing at Institute of Mathematics and Computer Science, University of Latvia and the University of Latvia project AAP2016/B032 “Innovative information technologies”.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Kārlis Čerāns
    • 1
    • 2
  • Agris Šostaks
    • 1
    • 2
  • Uldis Bojārs
    • 1
    • 2
  • Jūlija Ovčiņņikova
    • 1
    • 2
  • Lelde Lāce
    • 1
    • 2
  • Mikus Grasmanis
    • 1
  • Aiga Romāne
    • 1
  • Artūrs Sproģis
    • 1
  • Juris Bārzdiņš
    • 3
  1. 1.Institute of Mathematics and Computer ScienceUniversity of LatviaRigaLatvia
  2. 2.Department of ComputingUniversity of LatviaRigaLatvia
  3. 3.Department of MedicineUniversity of LatviaRigaLatvia

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