Our Knowledge Graph (KG) services leverage advanced agent-based operation and ontology representations, thus bringing automation and semantic context to machine-assisted solutions for the problems at hand. This allows us to introduce a semantic framework to seamlessly connect humans, machines, and agents, making them able to infer new knowledge from available data.
Use the links below, or the navigation menu at the top of the page, to view interactive demos of some of our advanced agent-based services.
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MarieA proof-of-concept, natural language search engine for accessing chemistry data from the World Avatar and Wikidata knowledge graphs. |
UK Digital TwinA connected digital twin, composed of distributed knowledge graphs and collaborative, intelligent agents that share, analyse, and combine data to answer complex questions. |
Climate ResilienceThe Climate Resilience Demonstrator (CReDo) is a pioneering climate change adaptation digital twin project that shows how connected data can improve climate adaptation and resilience. |
Maritime Air QualityThe DOME 4.0 project intends to offer an intelligent semantic industrial data ecosystem for knowledge creation across the entire materials to manufacturing value chains. |
Alongside our internal efforts, this work is being catalysed via involvement in collaborative research efforts, as well as engagement with initiatives such as the C4T programme of CARES at the University of Cambridge, and the Computational Modelling Group (CoMo) at the University of Cambridge.
You can also contact us if you want to know more about our Knowledge Graph technology.
