Masterclass: Open Research Knowledge Graph Structured Scholarly Knowledge
May 8 | KGC 2023
•
1h 31m
The ever-increasing number of published scholarly articles imposes significant challenges in organizing scholarly knowledge. We present the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that provides scholarly knowledge as structured data stored within a knowledge graph. With intelligent user interfaces, supported by machine learning, we provide tools for researchers to generate structured data for their research articles.
Up Next in May 8 | KGC 2023
-
Masterclass: Graphs with Relational T...
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-ex...
-
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 ...