KGC'22: 'Structural Graph Analysis With Property Graphs Built On Existing RDF-Graphs'— ecolytiq GmbH

Researchers and businesses meticulously transfer structured data via specific domains into domain-specific semantic graphs using domain-specific ontologies.

The standard is RDF: with this standard, we can extract more meaningful relations on such graphs, but structural and in-graph analysis (ML/AI) remains tedious and resource intensive.

Property graphs enable us to do such analysis though we cannot simply load domain-specific data structures into it. Instead, we must model the graph schema appropriately.

ecolytiq GmbH focuses on bridging this gap by using both graph tools by integrating existing RDF stores from any domain to build the right subgraphs for analysis in a property graph.

This allows scientific graph analysis and understanding of the dynamics of complex systems such as customer relations, traffic conditions, or brain activity.

The RDF store can serve with its unified data integration model and has the capability of semantic reasoning. Using Tigergraph as a scalable graph database and analytics platform provides the capability for large-scale graph processing on multi-layer networks.

It enables researchers and businesses to integrate data from various sources into a managed property graph.

This talk was presented by Dr. Mirko Kämpf, CTO and Chief Architect & Eric Tessenow, Chief Information Security Officer at ecolytiq GmbH.