Technical Report 277, c4e-Preprint Series, Cambridge

Authors: Mei Qi Lim, Xiaonan Wang, Oliver R. Inderwildi, and Markus Kraft*

Reference: Technical Report 277, c4e-Preprint Series, Cambridge, 2021

Associated Themes:
 

• Described the main underlying concepts and principles of the World Avatar project.
• Discussed how the World Avatar can improve interoperability.
• Highlighted how the Parallel World framework can facilitate what-if scenario analysis.
• Outlined the outlook for the World Avatar project.

Digitalisation enhances communication and therefore offers new ways to achieve efficiency gains in science, technology and society at large. However, there are still many open questions around how digitalisation can contribute to a more sustainable environment and lifestyle. We believe that knowledge graph technology is a promising candidate with which this can be achieved. In this chapter, we present the World Avatar, a dynamic knowledge graph (dKG), and explain the main underlying concepts and principles. Using several use cases, two key fundamentally different aspects – control and design – are introduced and illustrated. In addition, we show how the World Avatar can improve interoperability between heterogeneous data formats as well as software, and thus enable cross-domain applications in wider contexts. Moreover, we highlight how the Parallel World framework can consider different scenarios and hence facilitate time-dependent what-if scenario analysis. All use cases show how interoperability between multiple domains involved in the complex decarbonisation process can contribute to CO₂ abatement of digitalisation.

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