Tutorial - Cheuk Ting Ho: Knowledge graph data modelling with TerminusDB

FOR WHOM IS YOUR WORKSHOP Data scientists, engineers and researchers who have no prior experience in knowledge graph data modelling. In this workshop, we will start from the fundamentals - learning how to think in terms of triples to describe relations of different data objects. If your work involves data analysis, data management, data collaboration or anything data-related, this is a workshop for you to have a brand new insight into how data should be represented and stored. SHORT FORMAT OF YOUR WORKSHOP Overview-10 min, Lecture - 60 mins, Breaks- 20 minutes, Hands-on training - 80 mins, Closing - 10 mins WHAT ATTENDEES WILL LEARN By the end of the workshop, you will be able to think like a knowledge graph expert and construct a proper schema to store your data in a knowledge graph format. You will acquire the skills that you need to build knowledge graphs in TerminusDB - an open-source graph database that enables revisional control and collaborations. COURSE BENEFITS You will have learnt a new skill set that may assist you in your project in data science or research. You will have a new tool that you can better model your data and collaborate with others. Also, you gain all the prerequisites to use WOQL - a query language for knowledge graphs and the TerminusDB Python client to manage, manipulate and visualize data in your knowledge graph. Slides: https://pycon-assets.s3.amazonaws.com/2022/media/presentation_slides/50/2022-04-26T08%3A51%3A50.741435/Data_Modelling_Workshop.pdf