The GraphRAG Manifesto: Unlock Better GenAI Results With Knowledge Graphs | Read Now
Dev Conference by Neo4j
You only need to register once to attend all sessions.
Session Track: Graphs
Session Time:
Session description
In this hands-on workshop, you will learn how to transform RDF graphs to labeled property graphs (LPGs) and vice versa, ensuring semantic integrity throughout the process. You will explore the fundamental differences between RDF and LPGs, delve into practical transformation techniques, and address common challenges. By understanding how to maintain the meaning and relationships within the data, you will gain the skills needed to create interoperable graph data models. Whether you are a data scientist, developer, or researcher, this session will equip you with the knowledge to seamlessly navigate and manipulate different graph representations.
Data and AI Professional
Panos Alexopoulos works as Head of Ontology at Textkernel BV, in Amsterdam, Netherlands, leading a team of data professionals in developing and delivering a large cross-lingual Knowledge Graphs in the HR and Recruitment domain. In addition, he develops and delivers training workshops for practitioners in the fields of Data Semantics, Natural Language Processing, and Artificial Intelligence. Since 2020, he the author of the O’Reilly book “Semantic Modeling for Data – Avoiding Pitfalls and Dilemmas”, a practical and pragmatic field guide for data practitioners that want to learn how Semantic Data Modeling is applied in the real world.