Visualizing ontologies on the Web
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.
Make sure you are inside
WebVOWLdirectory and you have docker installed. Run the following command to build the docker image:
docker build . -t webvowl:v1
Run the following command to run WebVOWL at port 8080.
docker-compose up -d
Visit http://localhost:8080 to use WebVOWL.
Node.js for installing the development tools and dependencies.
npm installto install the dependencies and build the project
npm run-script releaseto (re-)build all necessary files into the deploy directory
Instead of the last step of the simple setup, install the npm package
npm install grunt-cli -g. Now you can execute a few more advanced commands in the terminal:
grunt releasebuilds the release files into the deploy directory
grunt packagebuilds the development version
grunt webserverstarts a local live-updating webserver with the current development version
grunt teststarts the test runner
grunt zipbuilds the project and puts it into a zip file
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.cssfile, 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.