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OntoKin: An Ontology for Chemical Kinetic Reaction Mechanisms
Author(s) -
Feroz Farazi,
Jethro Akroyd,
Sebastian Mosbach,
Philipp Buerger,
Daniel Nurkowski,
Maurin Salamanca,
Markus Kraft
Publication year - 2019
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.9b00960
Subject(s) - ontology , computer science , ontology based data integration , semantics (computer science) , process ontology , ontology inference layer , upper ontology , information retrieval , owl s , knowledge base , semantic web , world wide web , programming language , social semantic web , philosophy , epistemology
An ontology for capturing both data and the semantics of chemical kinetic reaction mechanisms has been developed. Such mechanisms can be applied to simulate and understand the behavior of chemical processes, for example, the emission of pollutants from internal combustion engines. An ontology development methodology was used to produce the semantic model of the mechanisms, and a tool was developed to automate the assertion process. As part of the development methodology, the ontology is formally represented using a web ontology language (OWL), assessed by domain experts, and validated by applying a reasoning tool. The resulting ontology, termed OntoKin, has been used to represent example mechanisms from the literature. OntoKin and its instantiations are integrated to create a knowledge base (KB), which is deployed using the RDF4J triple store. The use of the OntoKin ontology and the KB is demonstrated for three use cases-querying across mechanisms, modeling atmospheric pollution dispersion, and as a mechanism browser tool. As part of the query use case, the OntoKin tools have been applied by a chemist to identify variations in the rate of a prompt NO x formation reaction in the combustion of ammonia as represented by four mechanisms in the literature.

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