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
  • ViziQuer Tools - a collection of docker containers for easy setup of core ViziQuer tool system (ViziQuer, Data Shape Server, supporting database systems)
  • Viziquer - web based environment for visual data schema and query creation
  • Data Shape Server - manager service for stored data schemas, provides the schema and individual entity context information (e.g., for query auto-completion) to the visual tool
  • Data Schema Import Service - a utility for importing the data schemas into the Data Shape Server database.
  • Check also ViziQuer main page for open source data schema retrieval options (Data Schema Extractor).

    • Resources The publications created during the project are reported on ViziQuer main page.

    ViziQuer Tools LOD24 contains a list of 24 prominent Linked Open Data set schema and query environment definitions (runnable from within a docker style container), as well as visual presentations of their schema diagrams.

    A set of example data set schemas and their diagrammatic visualizations can be found on demonstration section of ViziQuer tool repository.

    We provide also a runnable code and examples for generating a Knowledge graph contents from the ViziQuer tool internal data schema.

    Query environment definitions (2023): Nobel Prizes, War Sampo, Mondial.
    NB! Use of updated versions of the environments at ViziQuer Playground, ViziQuer Tools or ViziQuer Tools LOD24 is recommended.

    Visual environment examples (2023): DBPedia examples and Wikidata examples.
    NB! Access the visual projects with query diagrams live on ViziQuer Playground. Running the projects on your premises (e.g., within the ViziQuer Tools suite) requires preloaded data schema of DBPedia or data schema of Wikidata, respectively.

    An external data schema explorer service (2023), running on MS Windows only, can be used for experiments with schema diagram descriptions (the module is superseded by a schema visualization module inside ViziQuer).