Lukas Lokowski: Knowledge Graphs and AI: Bridging Enterprise Data and Knowledge Graphs to Leverage AI Applications

Knowledge Graphs and AI: Bridging Enterprise Data and Knowledge Graphs to Leverage AI Applications

Abstract:
In today’s data-driven world, enterprises face significant challenges in integrating, structuring, and utilizing vast amounts of heterogeneous data. Knowledge graphs offer a powerful solution by organizing and connecting enterprise data, thus enabling advanced AI applications through structured, semantically enriched information. In this seminar, Lukas Lokowski will explore the role of knowledge graphs and ontology learning systems within enterprise environments. His talk will cover research on automating ontology extraction from relational databases, benchmarking current ontology learning approaches, and enhancing AI applications through high-quality data integration.

Bio:
Lukas Lokowski is a PhD student at the Hasso Plattner Institute in Potsdam, under the guidance of Prof. Dr. Felix Naumann, head of the Information Systems Chair. His research focuses on ontology learning from enterprise data and leveraging knowledge graphs to enhance AI applications. Additionally, he addresses data cleaning challenges, with a particular emphasis on entity resolution in numerical data. Passionate about bridging structured data with AI, Lukas is committed to developing innovative approaches to improve data integration and interoperability.