openArtBrowser http://openartbrowser.org invites you to browse through the world of arts, enjoy beautiful artworks and learn interesting things. We provide paintings, drawings and sculptures all over the world and from many periods.
This project contains:
Scripts to crawl relevant data about artworks, artists, genres, locations, materials, motifs and movements from Wikidata
Scripts to preprocess the crawled data
Angular frontent
To start the frontend:
download and install Node.js.
open a terminal and install Angular CLI globally: npm install -g @angular/cli
for development mode: ng serve from artbrowser/app folder, app will be available in a browser on localhost:4200
for deployment: ng build --prod on server and copy files to target directory
Frontend configuration:
default elasticSearch url is 'http://openartbrowser.org/api/_search'
to call a locally running elasticsearch docker container, run npm run start_docker or ng build --configuration=e_local
To change elasticSearch url to another server, change the above url in ‚app/src/app/core/services/data.service.ts‘
To build and run the elasticsearch docker container for local development, run the docker_elastic.sh script in the scripts directory. The building might take some time because of the included wiki crawling. For the docker container the wiki crawling is limited to a specific amount of objects per category. This amount is represented by the DEV_LIMIT variable in the get_wikidata_items.py script and thus can be adjusted there.