ViziQuer/DSS: Visually Explore and Query Knowledge Graphs Visualize the data schema. Graphically create rich data analysis queries. Explore and query DBPedia and other RDF Data Sets. |
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Actual data set schemas (e.g., 480K classes and 50K properties for DBPedia)
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New! |
Rich data schema library at
viziquer.app (visualization and query environment). Data schema visualization examples. Schema showcase available, as well. Schema extraction and visualization pipeline explained. |
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Query environment |
Open viziquer.app. Register (sign up) as a new user (email checking not done, any e-mail-like string is accepted), then log in. Create a new project (choose a data schema or give the name for the project). Further instructions available at Viziquer GitHub wiki. Create a new diagram, click on the diagram pane. The tabs for classes, properties and individuals shall be to the right. Double-click an item in a list to seed a query from it. A short notation and tool explanation with examples in the DBPedia context is available. A user manual for the classic version explains the query notation and environment concepts. The query notation presentation over hospital data contains a wealth of query examples. |
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Highlights |
A method and library for Visual Data Schemas (Demo at ESWC'2024)
Experience with Visual SPARQL Queries over DBPedia (Presentation and paper at VOILA!'2022) Towards Visual Queries over Wikidata (Demo at ESWC'2022) Visual Queries over Distributed Knowledge Graphs (Research project, supported by Latvian Science Council) |
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Sample Projects |
The example projects with configurations over Europeana, DBPedia and wikidata can be uploaded from the following locations
(other sample projects are offered during the project initialization, as well):
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Contacts |
Contact viziquer@lumii.lv for support, inquiries and any other ViziQuer-related matter.
Team leader e-mail karlis.cerans@lumii.lv |
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Open source code |
Check Viziquer repository in GitHub.
The data shape server serves the schema diagrams and name auto-completion (the actual schema data are currently stored in Postgres databases). |
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Data schema retrieval |
The visual query tool is designed to work with user-specified SPARQL endpoints. The
Schema Extractor
allows for obtaining a JSON-structured schema for a data set.
NB! Use "version 2" within the schema extractor UI. To use the created schema with ViziQuer/DSS tool, load it into the tool backend database by the data shape import service tool. |
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Data schemas |
The dumps of PostgreSQL databases for data endpoint schema information storing (including, where possible,
the class-property and property-property relations):
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Research projects |
Visual Queries in Distributed Knowledge Graphs.
Research project lzp-2021/1-0389, financed by Latvian Science Council.
January 2022 - December 2024
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Core team |
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Current Research |
Download the author manuscript Download the author manuscript Download the author manuscript |
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Earlier Research |
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