The World Avatar
A knowledge-graph-based digital twin of the world
A knowledge graph is a network of data expressed as a directed graph, where the nodes of the graph are concepts or their instances (data items) and the edges of the graph are links between related concepts or instances. Knowledge graphs are often built using the principles of Linked Data. They provide a powerful means to host, query and traverse data, and to find and retrieve related information.
The World Avatar project, with substantial contributions by CARES, CMCL, and CMPG, aims to create a digital ‘avatar’ of the real world. Its code is publicly available. The digital world is composed of a dynamic knowledge graph that contains concepts and data that describe the world, and an ecosystem of autonomous computational agents that simulate the behaviour of the world and that update the concepts and data so that the digital world remains current in time. In this manner, it is proposed that it is possible to create digital twins that are able to describe the behavior of complex systems, and by doing so provide the ability to make data-driven decisions about how to optimise the systems.
A central tenet of the World Avatar is the requirement to share data so that all the computational agents experience a self-consistent view of the world, and the requirement that data and computational agents must be interoperable across different technical and social domains. This interoperability, defined in the sense of the ability of tools and systems to understand and use the functionalities of other tools, is considered to be one of the key aspects of Industry 4.0 and will become increasingly important as the complexity and choice of tools inevitably increases. For example, considerations raised by recent reports concerning the possible role of hydrogen in the future UK energy landscape span the electrical power system, the gas grid, the potential of biomass, solar and wind energy, the transport system, heating of commercial and domestic buildings, in addition to considerations relating to the acceptance and adoption of new technologies by the public.
The World Avatar represents information in a dynamic knowledge graph using technologies from the Semantic Web stack. Unlike a traditional database, the World Avatar contains an ecosystem of autonomous computational agents that continuously update it.
The main components of the dynamic knowledge graph are illustrated in the above figure. The dynamic knowledge graph contains concepts and instances that are linked to form a directed graph. The agents are described ontologically as part of the knowledge graph, and are able to perform actions on both concepts and instances. This confers versatility because it combines a design that enables agents to update and restructure the knowledge graph, with a structure that allows agents to discover and compose other agents simply by reading from and writing to the knowledge graph.
Recent Associated Preprints
Patrick Butler, Simon D. Rihm, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, Technical Report 340, c4e-Preprint Series, Cambridge, 2025.
339: Product design, synthesis and lab automation with The World Avatar
Simon D. Rihm, Aleksandar Kondinski, and Markus Kraft, Technical Report 339, c4e-Preprint Series, Cambridge, 2025.
338: Parliamentary debates in The World Avatar: A hybrid retrieval-augmented generation system
Sebastian Mosbach, Jiawei Lai, Kushagar Rustagi, Dan N. Tran, Markus Kraft, Ewald Bindereif, and Mark Azzam, Technical Report 338, c4e-Preprint Series, Cambridge, 2025.
337: Assessment of individualised dynamic environmental exposures within The World Avatar
Jiying Chen, Jethro Akroyd, Sebastian Mosbach, Feroz Farazi, Xinhong Deng, Kok Foong Lee, Mei Qi Lim, George Brownbridge, Tom Bishop, Will Cuningham, Tomas Gonzales, Thomas Burgoine, Jenna Panter, Louise Foley, Søren Brage, Nicholas J. Wareham, and Markus Kraft, Technical Report 337, c4e-Preprint Series, Cambridge, 2025.
Recent Associated Publications
Automated Assembly Modeling of Metal-Organic Polyhedra
Aleksandar Kondinski, Andrea M Oyarzún, Simon D. Rihm, Jiaru Bai, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, European Journal of Inorganic Chemistry 28(26), 202500115, (2025).
Extraction of chemical synthesis information using The World Avatar
Simon D. Rihm, Fabio Saluz, Aleksandar Kondinski, Jiaru Bai, Patrick Butler, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, Digital Discovery 4(10), 2893-2909, (2025).
Question Answering System for Smart Cities and Urban Planning With The World Avatar
Xinhong Deng, Yi-Kai Tsai, Srishti Ganguly, Dan N. Tran, Hou Yee Quek, Wilson Ang, Shin Zert Phua, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, IET Smart Cities 7(1), 70009, (2025).
Beyond connected digital twins – Can digital twins really deliver sustainable cities?
Yong Ren Tan, Markus Hofmeister, Shin Zert Phua, George Brownbridge, Kushagar Rustagi, Jethro Akroyd, Sebastian Mosbach, Amit Bhave, and Markus Kraft, Sustainable Cities and Society 131, 106596, (2025).
Funding
This research was partly funded by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.


