https://github.com/bayer-group/cmc-knowledge-graph-setup
CMC (Chemistry, Manufacturing and Control) Knowledge Graph is an exemplary setup of data and ontologies for knowledge graph infrastructure including dockerized frontend and backend solution based on open source software.
https://github.com/bayer-group/cmc-knowledge-graph-setup
docker java javascript owl python rdfs sparql turtle
Last synced: about 1 year ago
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CMC (Chemistry, Manufacturing and Control) Knowledge Graph is an exemplary setup of data and ontologies for knowledge graph infrastructure including dockerized frontend and backend solution based on open source software.
- Host: GitHub
- URL: https://github.com/bayer-group/cmc-knowledge-graph-setup
- Owner: Bayer-Group
- License: bsd-3-clause
- Created: 2024-10-08T08:44:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-25T14:10:55.000Z (about 1 year ago)
- Last Synced: 2025-03-25T14:39:37.609Z (about 1 year ago)
- Topics: docker, java, javascript, owl, python, rdfs, sparql, turtle
- Homepage:
- Size: 7.81 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Easy setup of the whole environment
The Setup is part of the CMC Knowledge Graph Application.
This repository helps settings up a local environment based on Docker Compose.
## Installation instructions
1. Install Docker Desktop for Windows from [Docker Hub](https://hub.docker.com/editions/community/docker-ce-desktop-windows/) (latest test with Docker Desktop v2.2.0.3)
2. Clone this repository locally
```console
git clone --recursive [URL to this Git repo]
```
3. Pull all changes in all submodules
```console
git pull --recurse-submodules
```
4. Create a file `.env` in parallel to the file `docker-compose.yml` and insert the following variables (example values are shown):
```
GRAPHDATABASE_USERNAME=admin
GRAPHDATABASE_PASSWORD=admin
```
5. Run `docker-compose up` to download and build all Docker images and startup the environment
6. Wait for docker-compose to start up
7. Open the KGE Frontend (see URL below).
****
### Known problems
- While building the frontend the following error could occur. In the Dockerfiles of the frontend applications node is used with an increased heap size while building the applications `node --max_old_space_size=8000`. Try to increase this, if the error occurs.
```
FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory
```
- After starting the application a second time, the fuseki database could throw exceptions. Delete the Docker container of the fuseki database with `docker container rm fuseki`. ATTENTION: This will remove all your created data and reload the database with the initial data.
- fuseki-loader/loader.sh could contain `Carriage Return` characters, remove them.
## Application URLs
| Component | URL for Docker environment | URL for local environment | Username | Password |
| -------------------------------------------------------- | ------------------------------- | ------------------------------- |--------- | -------- |
| Apache Jena Fuseki Database Webinterface | http://localhost:3030/ | - | admin | admin |
| KGE-Editor-Frontend | http://localhost:4400/ | http://localhost:4400/| - | - |
| KGE-Web-Service | http://localhost:8080/swagger | http://localhost:8080/swagger| - | - |
## Quick Tips
Some quick tips and advices to work faster.
### Docker
To purge all unused or dangling images, containers, volumes, and networks run the following command:
```console
docker system prune -a
```
To remove all containers:
```console
docker container rm $(docker container ls -aq)
```
### Links
- [Git Submodules](https://www.vogella.com/tutorials/GitSubmodules/article.html)
- [Markdown Cheatsheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)
- [Apache Jena Fuseki tdbloader example](https://www.csee.umbc.edu/courses/graduate/691/spring14/01/examples/jena/README.txt)