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Knowledge Graph Approach to Combustion Chemistry and Interoperability.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Salamanca, Maurin 
Eibeck, Andreas 

Abstract

In this paper, we demonstrate through examples how the concept of a Semantic Web based knowledge graph can be used to integrate combustion modeling into cross-disciplinary applications and in particular how inconsistency issues in chemical mechanisms can be addressed. We discuss the advantages of linked data that form the essence of a knowledge graph and how we implement this in a number of interconnected ontologies, specifically in the context of combustion chemistry. Central to this is OntoKin, an ontology we have developed for capturing both the content and the semantics of chemical kinetic reaction mechanisms. OntoKin is used to represent the example mechanisms from the literature in a knowledge graph, which itself is part of the existing, more general knowledge graph and ecosystem of autonomous software agents that are acting on it. We describe a web interface, which allows users to interact with the system, upload and compare the existing mechanisms, and query species and reactions across the knowledge graph. The utility of the knowledge-graph approach is demonstrated for two use-cases: querying across multiple mechanisms from the literature and modeling the atmospheric dispersion of pollutants emitted by ships. As part of the query use-case, our ontological tools are applied to identify variations in the rate of a hydrogen abstraction reaction from methane as represented by 10 different mechanisms.

Description

Keywords

40 Engineering, 4017 Mechanical Engineering, 4002 Automotive Engineering, Networking and Information Technology R&D (NITRD)

Journal Title

ACS Omega

Conference Name

Journal ISSN

2470-1343
2470-1343

Volume Title

5

Publisher

American Chemical Society (ACS)

Rights

All rights reserved
Sponsorship
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
European Commission Horizon 2020 (H2020) Societal Challenges (724145)
Engineering and Physical Sciences Research Council (EP/R029369/1)
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (646121)
This work 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, and by the European Union Horizon 2020 Research and Innovation Programme under grant agreement 646121. Markus Kraft gratefully acknowledges the support of the Alexander von Humboldt foundation. The authors are grateful to EPSRC (grant number: EP/R029369/1) and ARCHER for financial and computational support as a part of their funding to the UK Consortium on Turbulent Reacting Flows (www.ukctrf.com).
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