This tutorial will help you generate a knowledge graph from some structured datasets such as CSV, JSON and XML. We will use Semantic Web technologies to build our knowledge graph. If you are not familiar with Semantic Web technologies, we provide you with some basic concepts and technologies about Semantic Web based Knowledge Graphs.
Which solutions are available to store and access relatively large RDF file directly in a browser?
Without the need for NodeJS, or anything else than a static server to publish files (using GitHub or GitLab Pages for example)
This would enable distributed processing, edition and querying of RDF data in the browser without requiring any installation, or any backend server to perform the processing or pre-processing.
Just host the JavaScript and RDF files on a static hosting service! When a user access the website it will download the JavaScript, which will load and handle the RDF. Additionally JS workers will be able to efficiently cache the data to avoid needing to reload everything at each new connection.
Publish Nanopublications using Nanobench.
When utilizing DockerHub on orchestration systems such as Kubernetes we run into download rate limits. We can circumvent these issues using a CI/CD workflow that leverages GitHub Container Registry.
Securing softwares is a complex task, especially for research softwares.
But some easy actions can be taken to quickly improve your code security.
A list of useful VisualStudio Code extensions for Data Science, web development and containers orchestration:
This web page will help you quickly create a ReactJS web application using TypeScript in a Jamstack fashion in a few minutes.