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Linked Data Engineering

Linked Data Engineering

We are surrounded by data everywhere. By helping us to make better decisions, data plays a central role in our daily lives. An ever increasing number of data sources, driven by individuals and organizations, contribute to this data deluge by sharing their data with others. However, data is locked up behind proprietary, unreliable, and even unstable programming interfaces that prevent us from optimally making use of it.

Linked Data has the potential to revolutionize the way we discover, access, integrate, and use data; just in the way the World Wide Web has revolutionized the way we consume and connect documents.

This course will introduce you to the basic principles and technologies of Linked Data to enable data sharing and reuse on a massive scale. Held together by ontologies, i.e. knowledge representations based on Semantic Web technologies, Linked Data serves as the central building block of the emerging Web of Data.

Self-paced since December 12, 2016
Language: English
Big Data and AI, Expert, Internet

Course information

We are surrounded by data everywhere. By helping us to make better decisions, data plays a central role in our daily lives. An ever increasing number of data sources, driven by individuals and organizations, contribute to this data deluge by sharing their data with others. However, data is locked up behind proprietary, unreliable, and even unstable programming interfaces that prevent us from optimally making use of it.
Linked Data has the potential to revolutionize the way we discover, access, integrate, and use data; just in the way the World Wide Web has revolutionized the way we consume and connect documents.
This course will introduce you to the basic principles and technologies of Linked Data to enable data sharing and reuse on a massive scale. Held together by ontologies, i.e. knowledge representations based on Semantic Web technologies, Linked Data serves as the central building block of the emerging Web of Data.

Attention: This course is currently in self-study mode, in which you do not have access to graded assignments/exams. Therefore, we can only issue you a certificate of participation.

Course contents

  • Week 1:

    Linked Data and the Web of Data
  • Week 2:

    RDF and RDFS
  • Week 3:

    Linked Data Vocabularies and Ontologies
  • Week 4:

    Querying RDF with SPARQL
  • Week 5:

    Linked Data Mashups and Applications
  • Week 6:

    Advanced Linked Data Based Applications
  • Final Examination

  • Hands On for Advanced Users:

    This section is optional and intended for advanced users. It will contain small exercises on programming and publishing Linked Data.

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Learners

Current
Today
10,905
Course End
Dec 12, 2016
5,467
Course Start
Oct 17, 2016
4,270

Certificate Requirements

  • Gain a Certificate by earning at least 50% of the maximum number of points from all graded assignments.
  • Gain a Confirmation of Participation by completing at least 50% of the course material.

Find out more on our page for certificates and guidelines.

Our teachers