Masterclass: Graphs with Relational Tables: The Why and The How
May 8 | KGC 2023
•
1h 23m
The tussle between graph databases vs. relational databases is misplaced and hinders wider adoption of graph databases. Many graph databases bring tremendous value, but at the cost of the bread and butter data management issues that relational databases are extremely good at. If the two can co-exist so that one can benefit the other, it will further spur graph database adoption.
This class will explain the differences between the two models and how they can work together. A traversal based query does not have to be at the cost of a sacrificing a high performance set-based query, or all the OLTP support that relational databases have. The two models working together opens up tremendous opportunities for the graph community.
Up Next in May 8 | KGC 2023
-
Masterclass: SPARQL, SHACL and XSLT3
XSLT3 is a powerful tool for transformations, one that's often underutilized in the RDF space. However, the combination of SPARQL, SHACL and XSLT3 together provides a comprehensive tool for transformation of semantic content that can complement existing capabilities such as SPARQL UPDATE, enablin...
-
Masterclass: The Open KG Curriculum
This master class will contain international experts on knowledge engineering and will detail their experiences, lessons learned, and best practices in how they have and currently teach their students and educate their workforce on knowledge graph concepts. The masterclass will be implemented as ...
-
Masterclass: Graph Embedding Techniqu...
Graph embeddings can be used for a variety of applications, including recommendation, fraud detection, and other machine learning tasks. In this work, we aim to walk through various different embedding techniques, starting with spectral approaches, moving towards graph neural networks, and finall...