DBIS

Why Knowledge Graphs?
Knowledge Graphs power a wide range of applications—from enhancing search engine results (e.g., Google) and fuelling intelligent assistants (like Siri or Alexa) to driving recommendation systems and providing verifiable data backbones for Large Language Models (LLMs)—as they have proven to be scalable, flexible and extendable for storing heterogeneous knowledge across diverse domains.

What You Will Do

• Work in small groups to tackle real-world challenges.
• Design and implement software solutions – from semantically integrating diverse datasets into KGs to integrating KG data into application pipelines.
• Explore how KGs can improve downstream AI applications, such as enhancing the output of LLMs using approaches like GraphRAG

What You Will Gain

• Hands-on experience with popular frameworks for Knowledge Graphs and LLMs.
• Practical insights into building and leveraging KGs, including data modelling, query processing, and semantic integration.
• Teamwork and software development skills

By the end of this lab, you will have a deeper understanding of Knowledge Graph concepts, tools, and how the knowledge of KG can be integrated into real-world applications.