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Table of Contents

Ontologies and Semantic Web (B4M36OSW)

This subject aims at technologies, methods and techniques to provide data as a reusable asset, understandable for both humans as well as context for LLMs. The focus is on linked data technologies (the tech-part) and the ontological foundations of data modeling (the reusability-part).

Annotation

During the semester we will show You, how to explicitly represent semantics of your data in a reusable and shareable manner. Data in general have only implicit meaning which is often not understood or even worse - misunderstood. We will show You how to explicitly equip Your data with explanations understandable for both humans and machines, using thesauri and ontologies. Second, we will show You how to interlink data using linked data principles and semantic web technologies to make them FAIR. During the semester You will work with various open data, learning to:

  • consolidate, unify and publish data on web using Resource Description Framework (RDF),
  • develop an OWL-based ontology to describe RDF data and infer new knowledge based on the rules set up in the ontology,
  • reuse existing data and interconnect by mapping their schemas to upper level ontologies,
  • query interconnected data systems using SPARQL language,
  • validate RDF data using SHACL.
  • make your data LLM-ready.

You will try all this by yourselves during the semestral project, in which you are going to integrate ambiguous data using ontologies and answer non-trivial questions over them using SPARQL.

Teachers

Course structure

  • lectures (voluntary) - KN:A-310, thursday 9.15-10.45
  • seminars (obligatory - KN:E-328, thursday 16.15-17.45

Knowledge from both lectures and seminars is expected during the exam and the semestral work.

courses/osw/start.txt · Last modified: 2026/08/30 23:29 by kremep1