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This specialized training is focused on using the Web Ontology Language (OWL) and Shapes Constraint Language (SHACL) for creating, validating, and managing complex data models in RDF.

Spoken language
English
Language material
English
Days
1
Data

Linked Data – Ontologies in OWL and SHACL (EN)

Thu 24 April 2025 09:00 - 16:30 Location: Utrecht
This training is conducted by: Amir Westhoff
€850,- Enrol
Thu 23 October 2025 09:00 - 16:30 Location: Utrecht
This training is conducted by: Amir Westhoff
€850,- Enrol

What is Linked Data – Ontologies in OWL and SHACL

OWL is a powerful language used to define and instantiate web ontologies, allowing for rich and complex descriptions of concepts and relationships. SHACL complements OWL by providing a way to validate RDF graphs against a set of conditions. In some contexts, having only SHACL shapes is seen as sufficient.

This training offers a comprehensive exploration of these technologies, covering foundational principles, practical applications, and advanced techniques. Participants will learn how to build ontologies and ensure their integrity through validation processes.

The training combines theoretical knowledge with hands-on experience, making it ideal for professionals looking to enhance their skills in data modelling based on semantic web technologies.


Who should attend Linked Data – Ontologies in OWL and SHACL

This training is suitable for:

  • Data Modelers: To model a domain in a graph paradigm, using semantic web technologies.
  • Data Scientists: To enhance data structuring and validation capabilities.
  • Information Architects: For improved data interoperability and quality assurance.
  • Software Engineers: To develop more intelligent and data-aware applications.
  • Business Analysts: To better interpret and leverage data for strategic insights.


Prerequisites

Participants should:

  • Be familiar with Linked Data and RDF (Resource Description Framework). The ‘Introduction Linked Data’ training addresses these topics and is ideally suited to follow as a pre-requisite training.
  • Bring a laptop that can run Protégé (desktop version) and Jupyter Notebook in a web browser.


Objectives

After this training you will be able to:

  • Explain key concepts in OWL and SHACL.
  • Design and create ontologies using OWL.
  • Validate RDF graphs using SHACL.
  • Utilize OWL and SHACL to improve data interoperability.


e-CF competences with this course

  • A.6. Application Design
  • B.1. Application Development
  • B.2. Component Integration
  • D.10. Information and Knowledge Management

Classroom, online, blended and in-company

At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.

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In-company training courses

With an in-company training you have several advantages:

  • You choose the location.
  • You train with your colleagues, ensuring it aligns with your practice.
  • The trainer tailors explanations, examples and assignments to your organization.
  • In consultation, exercises can be adapted to organization-specific questions.

Request more information or a quote.

Why Capgemini Academy?

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    Part of one of the largest, most innovative IT service providers worldwide.
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    Large training offer: both fully online and available in class.
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    Most training courses include certification and exam.
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    Trainers with passion, didactic skills and a good dose of practical experience as an IT professional.
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    Our students rate our training courses with an average of 8.8.