https://github.com/maastrichtu-ids/ldwizard-humanities
🪄 A LDWizard to generate RDF linked data from spreadsheets relevant to the Humanities and Social Sciences.
https://github.com/maastrichtu-ids/ldwizard-humanities
converter csv csvw linked-data rdf wizard
Last synced: 27 days ago
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🪄 A LDWizard to generate RDF linked data from spreadsheets relevant to the Humanities and Social Sciences.
- Host: GitHub
- URL: https://github.com/maastrichtu-ids/ldwizard-humanities
- Owner: MaastrichtU-IDS
- License: mit
- Created: 2022-03-11T08:49:57.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-07T18:44:07.000Z (about 2 years ago)
- Last Synced: 2025-02-14T01:25:25.597Z (3 months ago)
- Topics: converter, csv, csvw, linked-data, rdf, wizard
- Language: TypeScript
- Homepage: https://humanities.wizard.semanticscience.org/
- Size: 374 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# LD Wizard for Humanities and Social sciences
An [online GUI application](https://ldwizard.netwerkdigitaalerfgoed.nl) that makes it easy to create linked data from tabular data
related to humanities and social sciences.
This application uses the [LD Wizard](https://github.com/netwerk-digitaal-erfgoed/LDWizard).
## 🌐 Usage
You can use this application online at https://humanities.wizard.semanticscience.org
## 🐳 Deploy with Docker
You will need to have [Docker installed](https://docs.docker.com/get-docker/) to deploy the LDWizard.
Build and deploy on http://localhost:4000:
```bash
docker-compose -f ./docker/docker-compose.yml up --build --force-recreate
```
To deploy in production using [nginx-proxy](https://github.com/nginx-proxy/nginx-proxy):
```bash
docker-compose -f ./docker/docker-compose.prod.yml up --build --force-recreate
```
## 📦️ Development
### Change the LDWizard-Core
Clone `LDWizard-Core` locally (next to the `ldwizard-humanities` folder). Make the changes to `LDWizard-Core`, then add the local package to `ldwizard-humanities` (this folder):
```bash
yarn add file:./../LDWizard-Core
```
⚠️ This will change the `package.json` and `yarn.lock`, be careful to not commit them
The original LDWizard version is: `"@netwerkdigitaalerfgoed/ldwizard": "^1.1.0",`
Use a specific branch instead of the published package (to get fixes before new releases):
```bash
yarn add git+https://github.com/vemonet/LDWizard-Core#fix-sparql-autocomplete
```
> You can change the repo and branch used in the `docker/Dockerfile` file
### Build and deploy
Follow these steps to build the application locally:
1. Install [Node.js](https://nodejs.org) (>10 and <=14) with [Yarn](https://yarnpkg.com).
2. Clone this repository and go into its root directory.
3. Install the dependencies:
```sh
yarn
```
4. Create the build locally:
```sh
yarn build
```
5. Start an HTTP server in the `lib/` subdirectory. For example:
```sh
cd lib
http-server .
```
6. Visit in a web browser.
## Ontologies used
We have loaded a few ontologies to the SPARQL endpoint used for Classes/Predicates autocompletion in our GraphDB triplestore: https://graphdb.dumontierlab.com/graphs in the repository `ldwizard-humanities`
To add more properties to the autocomplete you can load a new ontology with new properties in the triplestore, you just need to make sure you use `rdfs:label` and `rdfs:comment` for your properties label and description.
* SemanticScience ontology (in the `resources` folder, to change the predicates to use `rdfs:comment`)
* Get RDFS vocabulary: `curl -L http://www.w3.org/2000/01/rdf-schema > resources/rdfs.ttl`
* https://schema.org/version/latest/schemaorg-current-https.ttl
* http://purl.org/dc/terms: https://lov.linkeddata.es/dataset/lov/vocabs/dcterms/versions/2012-06-14.n3
* http://www.w3.org/ns/prov#: https://lov.linkeddata.es/dataset/lov/vocabs/prov/versions/2015-01-11.n3
* http://purl.org/pav/: https://lov.linkeddata.es/dataset/lov/vocabs/pav/versions/2014-08-28.n3