• Linked Data - Ontologies in OWL and SHACL

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    Training code
    CGALDOOSCE
    Gesproken taal
    Engels
    Taal materiaal
    Engels
    Dagdelen
    2
    Kosten
    €204,68
    excl. BTW Geen extra kosten.

    Klik op onderstaande button om je in te schrijven voor deze training
    • 24-4-2025
      Utrecht
      €204,68
      €204,68
    • 23-10-2025
      Utrecht
      €204,68
      €204,68
    Training code
    CGALDOOSCE
    Gesproken taal
    Engels
    Taal materiaal
    Engels
    Dagdelen
    2
    Kosten
    €204,68
    excl. BTW Geen extra kosten.

    Klik op onderstaande button om je in te schrijven voor deze training
    • 24-4-2025
      Utrecht
      €204,68
      €204,68
    • 23-10-2025
      Utrecht
      €204,68
      €204,68

  • 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.
     
    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.
     
    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.

  • 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.
    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.