Dutch
English
-
Linked Data - Ontologies in OWL and SHACL (EN)
-
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.
Training codeCGALDOOSCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book Linked Data - Ontologies in OWL and SHACL (EN) now
In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.
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.
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.
Training codeCGALDOOSCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.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.
-
Brochure
Related
e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| B.2.Component Integration | |||||
| B.1.Application Development | |||||
| D.10.Information and Knowledge Management | |||||
| A.6.Application Design |