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Introduction Linked Data (EN)
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How can Google quickly present a structured page with filter options from huge amounts of data? The concepts and technology behind Linked Data make this possible.
Training codeCGAINTLDCESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book Introduction Linked Data (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 Introduction Linked Data
This training provides a comprehensive understanding of Linked Data, a technology that powers the structured presentation of diverse web content. You’ll learn how Linked Data forms the basis of the Semantic Web and how it’s applied within organizations. The training covers topics such as the origin and applications of Linked Data, RDF and its relation to Linked Data, SPARQL, and essential RDF vocabularies. The training is divided into two parts: a theoretical discussion followed by a practical application of the acquired knowledge.
As the foundation of the Semantic Web, Linked Data is no longer a novelty, yet many organizations lack knowledge about it. This training not only equips you with a theoretical and practical understanding of Linked Data but also prepares you for more advanced topics like Knowledge Graphs and Data Mesh. Our trainers, experts in the field, add a practical dimension to the theoretical concepts, providing real-world insights and best practices.
Who should attend Introduction Linked Data
- Data Professionals: Enhance your data manipulation skills with Linked Data.
- Web Developers: Learn how to structure web content effectively.
- SEO Specialists: Understand how Linked Data can improve web visibility.
- IT Managers: Gain insights into how Linked Data can benefit your organization.
- Database Administrators: Learn new ways to structure and query data.
Prerequisites
There are no specific requirements to participate in this training. You do need to bring a laptop on which Java 11 runs or can be installed.
Objectives
At the end of the training, you will be able to:
- Understand the concept of Linked Data and its applications.
- Know how RDF standardizes Linked Data.
- Use SPARQL as a Linked Data query language.
- Apply essential RDF vocabularies for specific applications.
- Work with simple SPARQL queries on a local, open-source triple store (Apache Jena Fuseki) and on the internet.
How can Google quickly present a structured page with filter options from huge amounts of data? The concepts and technology behind Linked Data make this possible.
Training codeCGAINTLDCESpoken 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 Introduction Linked Data
This training provides a comprehensive understanding of Linked Data, a technology that powers the structured presentation of diverse web content. You’ll learn how Linked Data forms the basis of the Semantic Web and how it’s applied within organizations. The training covers topics such as the origin and applications of Linked Data, RDF and its relation to Linked Data, SPARQL, and essential RDF vocabularies. The training is divided into two parts: a theoretical discussion followed by a practical application of the acquired knowledge.
As the foundation of the Semantic Web, Linked Data is no longer a novelty, yet many organizations lack knowledge about it. This training not only equips you with a theoretical and practical understanding of Linked Data but also prepares you for more advanced topics like Knowledge Graphs and Data Mesh. Our trainers, experts in the field, add a practical dimension to the theoretical concepts, providing real-world insights and best practices.
Who should attend Introduction Linked Data
- Data Professionals: Enhance your data manipulation skills with Linked Data.
- Web Developers: Learn how to structure web content effectively.
- SEO Specialists: Understand how Linked Data can improve web visibility.
- IT Managers: Gain insights into how Linked Data can benefit your organization.
- Database Administrators: Learn new ways to structure and query data.
Prerequisites
There are no specific requirements to participate in this training. You do need to bring a laptop on which Java 11 runs or can be installed.
Objectives
At the end of the training, you will be able to:
- Understand the concept of Linked Data and its applications.
- Know how RDF standardizes Linked Data.
- Use SPARQL as a Linked Data query language.
- Apply essential RDF vocabularies for specific applications.
- Work with simple SPARQL queries on a local, open-source triple store (Apache Jena Fuseki) and on the internet.
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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 |
|---|---|---|---|---|---|
| D.10.Information and Knowledge Management | |||||
| B.1.Application Development | |||||
| A.6.Application Design | |||||
| B.2.Component Integration |