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RIMBO - An Ontology for Model Revision Databases

Kronström, Filip (författare)
Chalmers University of Technology, Gothenburg, Sweden,Chalmers tekniska högskola
Gower, Alexander, 1993 (författare)
Chalmers University of Technology, Gothenburg, Sweden,Chalmers tekniska högskola
Tiukova, Ievgeniia A. (författare)
KTH,Industriell bioteknologi,Chalmers University of Technology, Gothenburg, Sweden,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH),Chalmers tekniska högskola
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King, Ross, 1962 (författare)
Chalmers University of Technology, Gothenburg, Sweden; University of Cambridge, Cambridge, UK; Alan Turing Institute, London, UK,The Alan Turing Institute,University Of Cambridge,Chalmers tekniska högskola
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 (creator_code:org_t)
Springer Nature, 2023
2023
Engelska.
Ingår i: Discovery Science - 26th International Conference, DS 2023, Proceedings. - : Springer Nature. ; 14276 LNAI, s. 523-534
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • The use of computational models is growing throughout most scientific domains. The increased complexity of such models, as well as the increased automation of scientific research, imply that model revisions need to be systematically recorded. We present RIMBO (Revisions for Improvements of Models in Biology Ontology), which describes the changes made to computational biology models. The ontology is intended as the foundation of a database containing and describing iterative improvements to models. By recording high level information, such as modelled phenomena, and model type, using controlled vocabularies from widely used ontologies, the same database can be used for different model types. The database aims to describe the evolution of models by recording chains of changes to them. To make this evolution transparent, emphasise has been put on recording the reasons, and descriptions, of the changes. We demonstrate the usefulness of a database based on this ontology by modelling the update from version 8.4.1 to 8.4.2 of the genome-scale metabolic model Yeast8, a modification proposed by an abduction algorithm, as well as thousands of simulated revisions. This results in a database demonstrating that revisions can successfully be modelled in a semantically meaningful and storage efficient way. We believe such a database is necessary for performing automated model improvement at scale in systems biology, as well as being a useful tool to increase the openness and traceability for model development. With minor modifications the ontology can also be used in other scientific domains. The ontology is made available at https://github.com/filipkro/rimbo and will be continually updated.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Computational biology
Database
Knowledge representation
Ontology
Semantic web

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