https://github.com/VisualDataWeb/WebVOWL

Visualizing ontologies on the Web
https://github.com/VisualDataWeb/WebVOWL

javascript owl rdf rdfs svg visualization webvowl

Last synced: 5 days ago
JSON representation

Visualizing ontologies on the Web

• Host: GitHub
• URL: https://github.com/VisualDataWeb/WebVOWL
• Owner: VisualDataWeb
• License: mit
• Created: 2015-04-17T20:21:46.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-07-29T09:02:33.000Z (over 1 year ago)
• Last Synced: 2024-08-01T12:33:34.561Z (3 months ago)
• Topics: javascript, owl, rdf, rdfs, svg, visualization, webvowl
• Language: JavaScript
• Homepage: http://vowl.visualdataweb.org/webvowl.html
• Size: 12.5 MB
• Stars: 700
• Watchers: 44
• Forks: 206
• Open Issues: 64
• Metadata Files:
  • Readme: README.md
  • License: license.txt

Awesome Lists containing this project

• awesome-ccamel - VisualDataWeb/WebVOWL - Visualizing ontologies on the Web (JavaScript)
• awesome-starred - VisualDataWeb/WebVOWL - Visualizing ontologies on the Web (javascript)

README

        
WebVOWL [![Build Status](https://travis-ci.org/VisualDataWeb/WebVOWL.svg?branch=master)](https://travis-ci.org/VisualDataWeb/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.

Run Using Docker

------------

Make sure you are inside `WebVOWL` directory 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](http://localhost:8080) to use WebVOWL.

Requirements

------------

Node.js for installing the development tools and dependencies.

Development setup

-----------------

### Simple ###

1. Download and install Node.js from http://nodejs.org/download/

2. Open the terminal in the root directory

3. Run `npm install` to install the dependencies and build the project

4. Edit the code

5. Run `npm run-script release` to (re-)build all necessary files into the deploy directory

6. Run `serve deploy/` to run the server locally, by installing serve by using `npm install serve -g`.

Visit [http://localhost:3000](http://localhost:3000) to use WebVOWL.

### Advanced ###

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:

* `grunt` or `grunt release` builds the release files into the deploy directory

* `grunt package` builds the development version

* `grunt webserver` starts a local live-updating webserver with the current development version

* `grunt test` starts the test runner

* `grunt zip` builds the project and puts it into a zip file

Additional information

----------------------

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](util/VowlCssToD3RuleConverter/README.md) file.