ViziQuer/web Tool for RDF Data Analysis Queries

Graphically construct and execute rich data analysis queries over RDF data

Supports both data instance level and aggregate queries




Query environment Open http://185.23.162.165/.
Register as a new user (recommended), then create a new project; start by choosing some example project (e.g. mini-University or Scholarly data).
It is possible also to login as demo@lumii.lv/demo123 to a public sandbox environment (to be discontinued in the future).

Check out the code to set up the tool locally (Docker-based running options available, as well).

Quick intro The query environment for every user is organized in projects. The project relies on data schema for name completion and SPARQL generation, and SPARQL endpoint connection for query execution. Every project consists of diagrams; there can be single or several queries in a diagram.
An initial user manual is available.
The query notation presentation over hospital data contains a wealth of query examples.

The example data schemas and schemas to access some popular SPARQL endpoints are in Data schema store.

Selected data schemas and projects Upload a schema or entire project content to a created project environment.

Example Data schema SPARQL Endpoint Comments
Mini-university Schema
Visualisation
Sample Project
http://85.254.199.72:8890/sparql
Named graph = MiniUniv
OWL ontology
Example data dump
Scholarly Data Schema
Sample Project
http://www.scholarlydata.org/sparql/ OWL ontology (extracted)
Scholarly data site
OWL ontology (original)
Visualization
Data schema visualization is provided in OWLGrEd

Check data schema store for further examples.

Data schema retrieval Read more about data schema retrieval, check out the code.
Use data schema retrieval service to analyze custom data endpoints and to retrieve data schema from an OWL ontology.

Check Data schema store for schemas of Linked Data endpoints.

Contacts Email viziquer@lumii.lv for support (incl. server problem/downtime reports), local installation options and other ViziQuer-related matters

Core team
  • Prof. Karlis Cerans (current team leader)
  • Prof. Guntis Barzdins (initial notation supervisor)
  • Dr. Agris Sostaks
  • Dr. Arturs Sprogis
  • Dr. Lelde Lace
  • Dr. Uldis Bojars
  • Dr. Martins Zviedris (ViziQuer notation founder)
  • Julija Ovcinnikova
  • Mikus Grasmanis
  • We work at Institute of Mathematics and Computer Science, University of Latvia

    Earlier versions Earlier ViziQuer tool versions (Windows desktop) are available for download and experiments, as well (no support available).

    Research
  • K.Cerans, A.Sostaks, U.Bojars, J.Ovcinnikova, L.Lace, M.Grasmanis, A.Romane, A.Sprogis and J.Barzdins. ViziQuer: a Visual Notation for RDF Data Analysis Queries. In Proc. of MTSR'2018, to appear in Springer Verlag CCIS Series
    Preliminary version available here
  • K.Cerans, A.Sostaks, U.Bojars, J.Ovcinnikova, L.Lace, M.Grasmanis, A.Romane, A.Sprogis and J.Barzdins. ViziQuer: a Web-based Tool for Visual Diagrammatic Queries over RDF Data In The Semantic Web: ESWC 2018 Satellite Events, Springer Verlag Lecture Notes in Computer Science, Vol.11155, pp.158-163.
    Preliminary version available here
  • K.Cerans, J.Barzdins, A.Sostaks, J.Ovcinnikova, L.Lace, M.Grasmanis and A.Sprogis. Extended UML Class Diagram Constructs for Visual SPARQL Queries in ViziQuer/web In Voila!2017, CEUR Workshop Proceedings, Vol.1947
  • K.Cerans, J.Ovcinnikova. ViziQuer: Notation and Tool for Data Analysis SPARQL Queries. In Voila!2016, CEUR Workshop Proceedings, Vol.1704
  • K.Cerans, J.Ovcinnikova, M. Zviedris. SPARQL Aggregate Queries made easy with Diagrammatic Query Language ViziQuer. In ISWC 2015 Posters & Demonstrations Track, CEUR Workshop Proceedings, Vol.1486
  • K.Cerans, J.Ovcinnikova, M. Zviedris. Towards Graphical Query Notation for Semantic Databases. In BIR 2015, Springer LNBIP.
  • G. Barzdins, S.Rikacovs, M. Zviedris. Graphical Query Language as SPARQL Frontend. In Local Proceedings of 13th East-European Conference (ADBIS 2009), pp. 93-107. Riga Technical University, Riga. (2009)
  • G.Barzdins, E.Liepins, M.Veilande, M.Zviedris, "Ontology Enabled Graphical Database Query Tool for End-Users", Selected papers from DBIS'2008, Hele-Mai Haav (Eds.), Frontiers in Artificial Intelligence and Applicatons series, IOS Press, 2009. 187:105-116


  • See also OWLGrEd - a tool for graphical OWL ontology visualization and authoring.
    OBIS - Ontology Based Information System. Get a web based information system just from data ontology.