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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
Ever thought about how Google from different websites on the internet, with major differences in design and language can quickly present a structured page with filter options? The concepts and technology behind this functionality is called Linked Data and can be applied to data within one or more organizations.
Linked Data, the basis of the Semantic Web, can no longer be called new. However, many organizations lack knowledge of this because professionals logically have and continue to focus on conventional implementations. Following this training provides a theoretical and practical basis to better participate in discussions on the subject and to demonstrate how Linked Data works. This training also provides a valuable basis in the context of related, but more advanced topics such as Knowledge Graphs and Data Mesh.
The following topics will be discussed during this training:- What Linked Data/Semantic Web is and how it originated;
- What can be achieved with Linked Data;
- RDF and how it relates to Linked Data;
- SPARQL and what one can do with it;
- Essential RDF vocabularies to fill specific applications.
The training is divided into two parts: a theoretical part in which relevant knowledge is discussed for the second, practical part, in which the participant can apply the theory acquired.
Who should attend Introduction Linked Data
The Introduction Linked Data training is suitable for:
- Starters at the beginning of their career,
- Data professionals,
- Business and information analysts,
- (Enterprise/Business/Solution/Data/Information) Architects,
and for whom the subject of Linked Data is new.
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
After this training, the participant will have knowledge about the following topics:
- Linked Data
- RDF as standard for Linked Data
- SPARQL as Linked Data query language
- Some essential RDF vocabularies for specific applications
- Working with simple SPARQL queries, both 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
Ever thought about how Google from different websites on the internet, with major differences in design and language can quickly present a structured page with filter options? The concepts and technology behind this functionality is called Linked Data and can be applied to data within one or more organizations.
Linked Data, the basis of the Semantic Web, can no longer be called new. However, many organizations lack knowledge of this because professionals logically have and continue to focus on conventional implementations. Following this training provides a theoretical and practical basis to better participate in discussions on the subject and to demonstrate how Linked Data works. This training also provides a valuable basis in the context of related, but more advanced topics such as Knowledge Graphs and Data Mesh.
The following topics will be discussed during this training:- What Linked Data/Semantic Web is and how it originated;
- What can be achieved with Linked Data;
- RDF and how it relates to Linked Data;
- SPARQL and what one can do with it;
- Essential RDF vocabularies to fill specific applications.
The training is divided into two parts: a theoretical part in which relevant knowledge is discussed for the second, practical part, in which the participant can apply the theory acquired.
Who should attend Introduction Linked Data
The Introduction Linked Data training is suitable for:
- Starters at the beginning of their career,
- Data professionals,
- Business and information analysts,
- (Enterprise/Business/Solution/Data/Information) Architects,
and for whom the subject of Linked Data is new.
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
After this training, the participant will have knowledge about the following topics:
- Linked Data
- RDF as standard for Linked Data
- SPARQL as Linked Data query language
- Some essential RDF vocabularies for specific applications
- Working with simple SPARQL queries, both 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 |