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Knowledge Graphs

Micro-credential

February – June 2026

Managing data on one machine for one specific kind of use is fairly straightforward. It is from the moment that that initial dataset needs to be shared with more than one application and needs to be combined with other datasets managed by other organizations on different machines, that more complex computer science and information technology problems arise. In this course we will deep-dive in the current state of the art in creating Knowledge on WebScale. Your personal data, data published publicly on the Web and data explicitly shared with you, becomes your Knowledge Graph that applications and services can use to assist you in your day to day activities.

Data scientists and engineers today claim 80% of their time goes to preparing and integrating the data: let us take you on a quest to fully automate data integration.



Several vacancies in Flanders require knowledge of the Flemish data space in order to share data interoperable. In this series of lessons, the professional learns to prioritize what is important when publishing data, and how he can contribute to a future in which data integration and negotiations over access to data can be fully automated.

A basic knowledge of JavaScript, HTTP, and command line is required

The language of instruction is English, which requires a sufficient command of the English language.

Initial competences

  • Being able to read HTTP messages (URL, method, body, response codes, headers…)
  • Executing HTTP requests via the browser and the command-line
  • Reading and writing data from/in a CSV-file, a JSON-file and relational databases
  • Making small JavaScript programs in the browser and Node.js (reading files, performing HTTP interactions)



Micro-credentials are small courses of academic level that focus on specific competencies. They often consist of one or several subjects which are also taught in an university bachelor's or master's degree.

If you pass the micro-credential, you will receive a certificate as proof that you have completed the acquired competencies. So you also acquire real official credits who are recognized in your further career, also internationally. They can also lead to exemptions for other courses, also at other institutions and organizations.

You will receive a certificate of the micro-credential + credit certificate when you pass the corresponding exam (3 ECTS points).

Examination method

  • Oral assessment, with written preparation, open book and open Web.
  • Continuous evaluation: lab assigments introduced during the lecturers.

The final score is the average score for the two parts.



Lecturer-in-charge

Prof. dr. ir. Pieter Colpaert, Department of Electronics and Information Systems, Ghent University

Co-lecturers

Prof. dr. ir. Ruben Verborgh, Department of Electronics and Information Systems, Ghent University

dr. ir. Ben De Meester, Department of Electronics and Information Systems, Ghent University


Contents

Open Data

  • Web Scraping
  • Legal aspects of data reuse
  • Findable, Accessible, Interoperable and Reusable data
  • Open Data portals
  • European Interoperability Framework

The quest for the universal data model

  • Knowledge Representations: key–val, resource-based, document based, property graphs, triple-based
  • Linked Data and the RDF data model
  • Linked Data and its serializations
  • Property graphs and RDF*
  • Logic with N3

Data Architectures

  • Linked Data Fragments
  • Event sourcing and Linked Data Event Streams
  • RDF Stream Processing
  • The Open World Assumption
  • Conway’s law
  • Ontology engineering with RDFS and OWL
  • Metadata management with DCAT
  • Validating RDF and building application profiles with SHACL and ShEx

Web Querying

  • An introduction to SPARQL
  • Querying endpoints
  • Link over one data store
  • Federated querying
  • Link Traversal

Trust on the Web

  • Identify management with Solid-OIDC
  • Authorization with WAC and ACP
  • Usage control policies with ODRL
  • Verifiable credentials
  • Personal data management with Solid

Guest Lectures from European data tech companies and data publishers

Final competences

  • Arguing the positioning, importance, and limitations of open data
  • Choosing the appropriate Web API to publish knowledge graphs
  • Modeling data as RDF graphs
  • Publishing knowledge graph on the Web from raw data
  • Designing a data architecture with fully automated data adoption and assessing trade-offs
  • Building a Linked Data vocabulary and application profile in RDF
  • Interpreting and creating SKOS, RDFS, and OWL constraints
  • Interpreting provenance of RDF data
  • Performing validation on RDF data
  • Querying the Web of Linked Data using Comunica
  • Positioning the industry opportunities and challenges on graph data



Practical info


Fee

341,9 euro

Course material is not included.

Click here for more information about the billing process and the payment request.

A payment request is always addressed to the student.

If your company or employer wants to pay your tuition fee they can do so by using the reference mentioned on the payment request.

You can also make the payment yourself and ask for a proof of payment by sending an email to studiegeld@ugent.be.

This proof of payment can then be used as an expense report.

FYI: there is no VAT on the tuition fee. Therefore it is unnecessary to mention the name and VAT number of the company on the payment request.

SME e-wallet

Ghent University accepts payments via the SME e-wallet.
Go to www.vlaio.be/en/subsidies/sme-e-wallet and use authorization code DV.O103193.

Opleidingsverlof (VOV)

This training is recognized in the context of VOV (ODB-P00004). For each credit point you are entitled to 4 hours of VOV.
This course (3 ECTS points) covers in total 12 hours of VOV (participation in the assignments and the exam is mandatory).

The registration certificate for VOV can be found at your personal page in OASIS (student administration platform).
You can download this yourself. For administrative reasons, it's helpful to write the registration number ODB-P00004 on the certificate yourself.
(Oasis > My Oasis > certificates > select correct academic year > document ‘enrolment certificate for APOP’).

Certification of exam participation is done automatically.



Enrol here: studiekiezer.ugent.be/2025/micro-credential-knowledge-graphs-en

A manual to enroll can be found here.

Please select ‘microcredential’ when you subscribe!





  • The classes starts on February 13, 2026 and always take place on Friday from 10h till 13h at Technologiepark Zwijnaarde, building 131, room Galileo Ferraris (second floor). The last session will be given on May 8, 2025.
    Note: paid parking at Technologiepark Zwijnaarde!

 

  • Participants take the classes together with students of the Master of Science in Bioinformatics and of the Master of Science in Computer Science Engineering.
  • A personal laptop is required
  • The training is supported by the Ufora learning platform, which contains, among other things, the course material.

Organisation

Universiteit Gent
UGent Academie voor Ingenieurs
Secretariaat
 Els Van Lierde
Technologiepark 60
9052 Zwijnaarde
Tel.: +32 9 264 55 82
ugain@UGent.be




You can download the brochure here.