|Estimated time||16-20 hours|
|Prerequisites||Linked Data Essentials|
|Next steps||Conceptual Modelling and UFO Basics|
Starting from the level you reached after following Linked Data Essential, this learning journey will introduce you to the practical aspects of working with Linked Data:
- How can you query an RDF knowledge graph?
- How do you work effectively with ontologies and datasets?
- How can you validate data?
- How can you create and apply taxonomies?
- What are useful techniques in an enterprise-context?
This learning journey is relevant for analysts, engineers, architect and others with an interest in experiencing hands-on what working with RDF is like. It lays the foundation for more advanced courses on SPARQL, SHACL and combining Linked Data and geospatial data.
Linked Data is increasingly becoming a central technology in enterprise architectures, in data-exchange processes, and in applications of artificial intelligence. For many kinds of position, hands-on experience with RDF is not a luxury anymore.
This learning journey takes you through the technical aspects of Linked Data. You start by better understanding the more technical aspects of the core concepts. Your journey then continues covering RDF and RDF Semantics, RDFS, OWL, SHACL, Turtle, SPARQL and more. You will learn about taxonomies and SKOS. You will learn about the technical aspects of integrating RDF knowledge graphs in an enterprise context using APIs. A combination of theory and practical, hands-on exercises will enable you to grasp and experience the practicalities of Linked Data.
After finishing this course, you are able to get real work done with Linked Data.
The learning objectives of this course are:
- Appreciate technical aspects of the fundamental ideas on which Linked Data is built
- Learn the practicalities of the core standards RDF, RDFS, OWL, SHACL and SKOS
- Learn to query data sets using SPARQL
- Gain hands-on experience with Linked Data
- Learn to apply widely used methods, design patterns and best practices
- Become aware how RDF knowledge graphs can be leveraged in an enterprise context
- Comprehend how RDF knowledge graphs can be used in combination with APIs
Who we are
Taxonic is Netherlands’ leading consultancy in Linked Data. Founded in 2012, Taxonic has grown to become the one-stop-shop for all things semantic, from propositions and consulting to education and inspiration
Eliana Papoutsoglou is Linked Data consultant at Taxonic. She has earned a PhD researching the application of FAIR principles and Linked Data in plant sciences
Jan Voskuil is co-founder and CEO of Taxonic. He has been evangelizing and teaching semantic technologies for more than a decade. His consultancy work spans multiple domains. He frequently publishes and speaks at conferences about the things he works on