• Linked Data - Taxonomies and Thesauri using SKOS (NL)

  • Group Training

    Taxonomies and Thesauri with SKOS is a specialized training focused on using the Simple Knowledge Organization System (SKOS) to develop structured vocabularies for organizing information.

    Training code
    CGALDTTSCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    excl. VAT No extra costs.

    Book Linked Data - Taxonomies and Thesauri using SKOS (NL) 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.

    • 17-1-2025
      Utrecht
      €800,00
      €800,00
    • 11-7-2025
      Utrecht
      €800,00
      €800,00
     

    What is Linked Data - Taxonomies and Thesauri using SKOS

    SKOS is a standard framework for building and sharing taxonomies, thesauri, and other types of controlled vocabularies. When using SKOS in combination with Linked Data principles and RDF, data interoperability across data silos is enhanced.
    This training provides an in-depth introduction to SKOS, covering the principles and methodologies for creating effective taxonomies and thesauri. Participants will learn how to design, implement, and manage these vocabularies to enhance an organization’s information architecture.

    The training combines theoretical knowledge with practical exercises, ensuring that attendees can apply what they learn to real-world scenarios in various domains.

     
     

    Who should attend Linked Data - Taxonomies and Thesauri using SKOS

    This training is suitable for:

    • IT Professionals: For better implementation of information systems using SKOS.
    • Data Analysts: To improve data categorization and interpretation.
    • Data Scientists: To enhance data interoperability and search accuracy.
    • Content Managers: To structure and manage digital content efficiently.
    • Knowledge Managers: To optimize the organization and retrieval of organizational knowledge.

    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 VocBench (that requires Java 17 or higher).

    Objectives

    After this training you will be able to:

    • Explain key concepts in SKOS.
    • Design and create taxonomies and thesauri using SKOS.
    • Apply best practices in taxonomy and thesaurus management.
    • Analyze and troubleshoot common issues in taxonomy creation and management.
     
    Incompany

    Taxonomies and Thesauri with SKOS is a specialized training focused on using the Simple Knowledge Organization System (SKOS) to develop structured vocabularies for organizing information.

    Training code
    CGALDTTSCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €800,00
    excl. 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 - Taxonomies and Thesauri using SKOS

    SKOS is a standard framework for building and sharing taxonomies, thesauri, and other types of controlled vocabularies. When using SKOS in combination with Linked Data principles and RDF, data interoperability across data silos is enhanced.
    This training provides an in-depth introduction to SKOS, covering the principles and methodologies for creating effective taxonomies and thesauri. Participants will learn how to design, implement, and manage these vocabularies to enhance an organization’s information architecture.

    The training combines theoretical knowledge with practical exercises, ensuring that attendees can apply what they learn to real-world scenarios in various domains.

     
     

    Who should attend Linked Data - Taxonomies and Thesauri using SKOS

    This training is suitable for:

    • IT Professionals: For better implementation of information systems using SKOS.
    • Data Analysts: To improve data categorization and interpretation.
    • Data Scientists: To enhance data interoperability and search accuracy.
    • Content Managers: To structure and manage digital content efficiently.
    • Knowledge Managers: To optimize the organization and retrieval of organizational knowledge.

    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 VocBench (that requires Java 17 or higher).

    Objectives

    After this training you will be able to:

    • Explain key concepts in SKOS.
    • Design and create taxonomies and thesauri using SKOS.
    • Apply best practices in taxonomy and thesaurus management.
    • Analyze and troubleshoot common issues in taxonomy creation and management.
     
  • Related

    Fields of Expertise
    Data
     
  • 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 Level12345
    B.1.Application Development     
    A.6.Application Design     
    B.2.Component Integration     
    D.10.Information and Knowledge Management