New AWS Software Competencies — Financial, Auto, GenAI, and ML | Learn Now

Neo4j logo

Nodes2024

Dev Conference by Neo4j

Register for NODES 24

You only need to register once to attend all sessions.

From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning

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.

Speaker

photo of Panos Alexopoulos

Panos Alexopoulos

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.