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Caution
The URL https://visualdataweb.org/ is not owned bei VisualDataWeb anymore! Not related to WebVOWL anymore. 🌐 The new link to WebVOWL is: https://service.tib.eu/webvowl/
This repository was ported from an internal SVN repository to Github after the release of WebVOWL 0.4.0. Due to cleanups with git filter-branch, the commit history might show some strange effects.
The legacy root Dockerfile downloaded a WAR from vowl.visualdataweb.org (broken; see issue #212).
Clone WebVOWL only. The image build fetches OWL2VOWL from GitHub (no second local clone):
docker compose build && docker compose up -dFrontend only (no /convert; faster build):
docker compose -f docker-compose.frontend.yml up -d --buildPin converter source: OWL2VOWL_GIT_REF=v0.3.7 docker compose build (branch or tag on VisualDataWeb/OWL2VOWL).
See docker/README.md and docs/adr/0001-docker-local-development.md.
Visit http://localhost:8080.
Node.js for installing the development tools and dependencies.
Visit http://localhost:3000 to use WebVOWL.
Instead of the last step of the simple setup, install the npm package grunt-cli globally with npm install grunt-cli -g. Now you can execute a few more advanced commands in the terminal:
To export the VOWL visualization to an SVG image, all css styles have to be included into the SVG code. This means that if you change the CSS code in the vowl.css file, you also have to update the code that inlines the styles - otherwise the exported SVG will not look the same as the displayed graph.
The tool which creates the code that inlines the styles can be found in the util directory. Please follow the instructions in its README file.
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