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AI3SD Video: The Universal Digital Twin – accessing the world of chemistry

AI3SD Video: The Universal Digital Twin – accessing the world of chemistry
AI3SD Video: The Universal Digital Twin – accessing the world of chemistry
In my talk I shall present the “universal digital twin” (UDT) and some of its applications in the realm of chemistry. The UDT is a dynamic knowledge graph and is implemented using technologies from the Semantic Web. It is composed of concepts and instances that are defined using ontologies, and of computational agents that operate on both the concepts and instances to update the dynamic knowledge graph. By construction, it is distributed, supports cross-domain interoperability, and ensures that data is connected, portable, discoverable and queryable via a uniform interface. We present a small number of use cases that demonstrate the ability of the dynamic knowledge graph to host and query chemical knowledge, control chemistry experiments and combine it with geospatial data. For example, we shall present Marie, which is a proof-of-concept Question Answering system for accessing chemical data in the UDT.
Chemistry, Digital Twins, Knowledge Graphs, Semantic, Semantics
Kraft, Markus
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Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
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Niranjan, Mahesan
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Kraft, Markus
0b4d3902-91df-4794-a4c4-ccc4901a40cd
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f

Kraft, Markus (2021) AI3SD Video: The Universal Digital Twin – accessing the world of chemistry. Frey, Jeremy G., Kanza, Samantha and Niranjan, Mahesan (eds.) AI3SD Autumn Seminar Series 2021. 13 Oct - 15 Dec 2021. (doi:10.5258/SOTON/AI3SD0169).

Record type: Conference or Workshop Item (Other)

Abstract

In my talk I shall present the “universal digital twin” (UDT) and some of its applications in the realm of chemistry. The UDT is a dynamic knowledge graph and is implemented using technologies from the Semantic Web. It is composed of concepts and instances that are defined using ontologies, and of computational agents that operate on both the concepts and instances to update the dynamic knowledge graph. By construction, it is distributed, supports cross-domain interoperability, and ensures that data is connected, portable, discoverable and queryable via a uniform interface. We present a small number of use cases that demonstrate the ability of the dynamic knowledge graph to host and query chemical knowledge, control chemistry experiments and combine it with geospatial data. For example, we shall present Marie, which is a proof-of-concept Question Answering system for accessing chemical data in the UDT.

Video
AI3SDAutumnSeminar-241121-MarkusKraft - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 24 November 2021
Additional Information: Prof Markus Kraft is a Fellow of Churchill College Cambridge and Professor in the Department of Chemical Engineering and Biotechnology. He is the director of CARES ltd., the Singapore-Cambridge CREATE Research Centre. He is also a principal investigator of “Cambridge Centre for Carbon Reduction in Chemical Technology (C4T)”. He obtained the academic degree 'Diplom Technomathematiker' at the University of Kaiserslautern in 1992 and completed his Doctor rerum naturalium in Technical Chemistry at the same University in 1997. Subsequently, he worked at the University of Karlsruhe and the Weierstrass Institute for Applied Analysis and Stochastics in Berlin. In 1999 he became a lecturer in the Department of Chemical Engineering, University of Cambridge. He has a strong interest in the area of computational modelling and optimisation targeted towards developing carbon abatement and emissions reduction technologies for the automotive, power and chemical industries. He has contributed significantly towards the detailed modelling of combustion synthesis of organic and inorganic nanoparticles and worked on engine simulation, spray drying and the granulation of fine powders. More recently, he has been working on cyber physical systems employing time varying knowledge graphs with the aim to build large cross domain applications that help to reduce energy consumption and harmful emissions.
Venue - Dates: AI3SD Autumn Seminar Series 2021, 2021-10-13 - 2021-12-15
Keywords: Chemistry, Digital Twins, Knowledge Graphs, Semantic, Semantics

Identifiers

Local EPrints ID: 453351
URI: http://eprints.soton.ac.uk/id/eprint/453351
PURE UUID: 4ed70217-ae05-46cc-a319-eb6b956ced9e
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X

Catalogue record

Date deposited: 13 Jan 2022 18:02
Last modified: 14 Jan 2022 02:53

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Contributors

Author: Markus Kraft
Editor: Jeremy G. Frey ORCID iD
Editor: Samantha Kanza ORCID iD
Editor: Mahesan Niranjan ORCID iD

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