Visual Queries in Distributed Knowledge Graphs

Visual schemas and rich data queries over standalone and distributed knowledge graphs.




Visual Tool

 We implement our ideas in ViziQuer tool (follow this link also for previous research and wider context explanation).

News

16-10-2024
Visual Presentation and Summarization of Linked Data Schemas - the publication accepted at KGSWC 2024.

16-10-2024
Visual Data and Schema Queries over Knowledge Graphs - the publication accepted at EKAW 2024 as a Demo paper.

30-07-2024
Towards Visual Federated SPARQL Queries - the publication accepted at Semantics 2024 as a Demo paper.

05-04-2024
A method and library for Visual Data Schemas - the publication accepted at ESWC 2024 as a Demo paper.

28-08-2023
Two publications accepted at VOILA! Workshop associated with ISWC: "Integrating Sparklis and ViziQuer for Enhanced SPARQL Querying and Visualization" and "A Method of Visual Presentation of Data Schemas".

03-04-2022
Publication on Wikidata examples accepted at ESWC 2022 as a Demo paper.

02-01-2022
Successful project start

Project aims

 The project aims to develop and validate a method for creation and management of visual and multi-modal rich data queries over standalone and distributed knowledge graphs by data professionals and lay users.
The vision of the project is to provide an option for seamless creating of rich visual queries, allowing query scaffolding from visual data schema exploration or from natural language texts and providing context-aware meaningful auto-completion over the data sets of practical size and heterogeneity (including DBPedia, Wikidata and large custom data sets), with support for distributed queries.
The methods for automated and incremental data schema extraction from the variety of the real-world data sets shall support the vision.

Project data Research project lzp-2021/1-0389, financed by Latvian Science Council.
Time frame: January 2022 - December 2024
Implemented at Institute of Mathematics and Computer Science, University of Latvia. Contact project leader Dr. Kārlis Čerāns

Project team
  • Prof. Kārlis Čerāns
  • Dr. Lelde Lāce
  • Dr. Uldis Bojārs
  • Jūlija Ovčiņņikova
  • Mikus Grasmanis
    • We work at Institute of Mathematics and Computer Science, University of Latvia
    Open source code Check the branch dss-based-schemata from Viziquer repository in GitHub for the visual tool version that works with a separate data schema server.

    The data shape server (serving the names for auto-completion) is in its own repository on GitHub.

    Check also ViziQuer main page for open source data schema retrieval options.

    Resources List the resources ..

    Check the branch dss-based-schemata from Viziquer repository in GitHub for the visual tool version that works with a separate data schema server.

    The data shape server (serving the names for auto-completion) is in its own repository on GitHub.

    Check also ViziQuer main page for open source data schema retrieval options.