As part of the W3C Semantic Web initiative standards and technologies have been developed for machine-readable exchange of data, information and knowledge on the Web. These standards and technologies are increasingly being used in applications and have already led to a number of exciting projects (e.g. DBpedia, semantic wiki or commercial applications such as schema.org, OpenCalais, or Google’s Freebase). These technologies become even more important in the era of Large Language Models (LLMs) because they enable the integration and structuring of vast amounts of disparate data, making it more accessible and meaningful for AI systems to process and understand and grouding the LLMs output in facts, preventing hallucination.
In this course, you will gain hands-on experience with linked data technologies while exploring their theoretical background.
| Type | Lecture |
| Term | WS 2025 |
| Starting | 14.10.2024 at 6:30pm |
| Mentor(s) |
Stefan Decker |
| Assistant(s) |
Laurenz Neumann |
| First Weekly Day |
Monday at 6:30pm Room: B-IT Research School (2356|053.2) |
| Second Weekly Day |
Wednesday at 12:30pm Room: B-IT Research School (2356|053.2) |
The topics discussed within the lecture include:
• History of the Web and Semantic Web
• RDF syntax and data model;
• RDF Schema and formal semantics of RDF(S);
• Ontologies in OWL and formal semantics of OWL;
• RDF databases, triple and knowledge stores, query languages;
• Linked Data Web and Semantic Web applications;
• Semantic text analysis and information retrieval systems.
This course will enable the students to develop the knowledge necessary for understanding data oriented Web Technologies. Students will develop skills and competencies that are required for applying these technologies in real world settings and developing applications using Semantic Web technologies.