Many organisations are seeing increasing volumes of data needing to be shared and substantial custom system development to cope with it.
The advanced knowledge graph training programme is a one-day course presented by Semantic Partners
Course Outline
- SHACL
- OWL & Reasoning
SHACL
- Open World vs Closed World
- SHACL Basics
- SHACL Core
- SHACL Lab: Constraint Components
- SHACL-SPARQL
- SHACL Advanced Features
- Practical aspects
By the end of the course, you should:
- Be able to explain the open world principle;
- Know what problem SHACL is trying to solve;
- Know what are SHACL’s core components;
- Be able to create shapes, constraints and targets;
- Be able to interpret validation results and focus nodes;
- Be aware of SHACL’s advanced features;
- Explain how SHACL can be useful, with use cases
OWL & Reasoning
- Fundamentals of OWL
- Classes
- Properties
- Datatype Properties
- Individuals
- Equivalence
- Problems with OWL
- What is reasoning
- Types of, Chaining
- Cardinality constraints
By the end of the course, you should:
- Be able to develop ontologies based on OWL standards using Grafo, a SaaS similar to Protégé;
- Be able to read and interpret the resulting OWL dataset - Understand the mechanism of inference and reasoning, and simulate inference using SPARQL;
- Have a solid grasp of ontology best practice;
- Have a reasonable understanding of the extent of the OWL meta ontology and how it can be deployed;
- Understand the difference between OWL and SHACL and when to best utilise each
Prerequisites
- To perform the exercises, students need a computer with a browser and internet access.
- Advanced practitioners who have already taken the Introduction to Knowledge Graphs course.
Course Delivery
The course consists of a series of modules with a mix of learning material and hands on exercises to put what you learn into practice straight away. The environment for the exercises is provided by Semantic Partners hosted in the cloud.
For more information about this course contact us.
