Eric Tessenow

Biography

Due to my background in International Communication as well as Cultural and Regional Studies, my desire to learn new things (i.e. languages, cultures, and methods) as well as my studies and experiences abroad I can utilize this understanding of different cultural backgrounds and contribute to the diversity of an organisation. Based on the work with open source tools, communities, and people from across the globe, I believe in good communication practice as a key factor for a successful business.

Talks and Events

2022 Talk: Recycle Rather Than Mine – Structural Graph Analysis With Property Graphs Built On Existing Rdf-Graphs

Researchers and business have and are meticulously transferring structured data about specific domains into domain specific semantic graphs using domain specific ontologies. The standard is RDF. With this standard we are capable to 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. But we cannot simply load domain specific data structures into it. Instead we have to model the graph schema appropriately. Our work is focused on bridging this gap and using the advantages of both graph tools by integrating existing RDF stores from any domain to build the right subgraphs for analysis in a property graph. This allows us scientific graph analysis and understand 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. TigerGraph as scalable graph database and analytics platform provides the capability for large scale graph processing on multi-layer networks. We enable researchers and businesses to integrate data from various sources into a managed property graph.