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Supports both data instance level and aggregate queries
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New version!
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Check the new version supported by the Data Shape Server
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Query environment
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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).
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Quick intro
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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.
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Contacts
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Contact viziquer@lumii.lv for support, inquiries and any other ViziQuer-related matter.
Direct team leader e-mail karlis.cerans@lumii.lv
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Selected data schemas and projects
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Upload a schema or entire project content to a created project environment.
Data schema visualization is provided in OWLGrEd
Check data schema store for further examples.
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Data schema retrieval
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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.
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Core team
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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
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Earlier versions
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Earlier ViziQuer tool versions (Windows desktop) are available
for download and experiments, as well (no support available).
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Research
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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
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See also
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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.
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