Knowledge graphs are large networks of entities and their semantic relationships. They are a powerful tool that changes the way we do data integration, search, analytics, and context-sensitive recommendations. Knowledge graphs have been successfully utilized by the large Internet tech companies, with prominent examples such as the Google Knowledge Graph. Open knowledge graphs such as Wikidata make community-created knowledge freely accessible. On these tutorial pages we try to bring knowledge graphs a little bit closer to end users and ease the onboarding process into the world of knowledge graphs and connected data.


"Getting Started" Tutorial
This tutorial provides an overview of metaphactory's out-of-the-box features for knowledge graph exploration and data discovery. By the time we are done, you will have learnt how to:
  • Load data into metaphactory;
  • Search the dataset;
  • Visualize and explore the dataset and capture discoveries about it.
This tutorial will require 10 minutes during which you'll do lots of hands-on tasks with immediate results.
"Ontology Authoring" Tutorial
This tutorial will show you how to use the Ontology Catalog and Visual Ontology Editor available in metaphactory. By the time you are through with the tutorial, you will have learnt how to:
  • Manage ontologies as knowledge graph assets;
  • Visualize ontologies;
  • Create and edit ontologies.
The tutorial will require 10 minutes during which you’ll do lots of hands-on tasks with immediate results.


Semantic Web novices who want to understand basic concepts and value adds delivered by knowledge graphs

Educators such as lecturers and professors who want to introduce practical exercises into their own lectures

Knowledge Graph practitioners who want to accelerate their projects - in the industry or in academia