Bitemporal Property Graphs to Organize Evolving Systems

Understand

This work is a summarized view on the results of a one-year cooperation between Oracle Corp.

• and the University of Leipzig.
• The goal was to research the organization of relationships within multi-dimensional time-series data, such as sensor data from the IoT area.
• We showed in this project that temporal property graphs with some extensions are a prime candidate for this organizational task that combines the strengths of both data models (graph and time-series).