Sefarad is an application developed to explore data by making SPARQL queries to the endpoint you choose without writing more code. You can also create your own cores if you have a big collection of data (LMF required). To view your data you can customize your own widgets and visualize it through them.
Sefarad requires docker and docker-compose to work. You can download Docker here
Docker-compose can be easily installed through pip.
sudo pip2 install docker-compose
First of all, you need to clone the Github repository:
git clone email@example.com:gsi-upm/sefarad cd sefarad
Finally, it is necessary to change your ElasticSearch configuration folder permissions.
sudo chown -R 105 ./elasticsearch/config/
Now the image is ready to run. Build and run your docker images:
sudo docker-compose up
You can visualize Sefarad main page in your browser on port 8080.
Polymer - Web Components Technology
Those components will be reusable only importing the tag
<component-tag></component-tag> and they could share information using data binding among them.
You can check out our Sefarad demo here
 Development of a Social Media Monitoring System based on Elasticsearch and Web Components Technologies.
Read the Docs. Detailed documentation about Sefarad project.