BatCAT deliverable 4.4: Semantic artefacts, schema alignments and mappings

Within the Horizon Europe project BatCAT (Battery Cell Assembly Twin), a set of ontologies has been developed to cover use cases on vanadium redox-flow batteries and lithium-ion batteries. Users of our tools will be practitioners and operators in manufacturing, modelling and characterization, as well as business managers. The ontologies in OWL will be the basis for conceptualization at lower and higher logical expressivity (as the YAML data model used within the LinkAhead database and the answer set programming axioms for logic-based optimization). The ontologies will support data ingest and retrieval and semantic interoperability within BatCAT tools and with external components. Here we provide an overview of these ontologies, and of their alignment or mapping to related ones (including BattINFO and the EMMO). Finally we present work on the translation of the ontologies (axioms and facts) from OWL to answer set programming.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-24
DOI
https://doi.org/10.5281/zenodo.18059131
Primary Topic
Advanced battery technologies research
Type
article
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article

BatCAT deliverable 4.4: Semantic artefacts, schema alignments and mappings

Martin Gebser, Martin Petit, Ilian T. Todorov, Liyuan Liu et al.
Zenodo (CERN European Organization for Nuclear Research)
Advanced battery technologies research
article

BatCAT deliverable 4.4: Semantic artefacts, schema alignments and mappings

Martin Gebser, Martin Petit, Ilian T. Todorov, Liyuan Liu, Simon Stephan, Silvia Chiacchiera, Daniele Toti, Martin Horsch, Palina Dubatouka, Carlos Nieto-Draghi, Ivano Eligio Castelli, Sara Drvarič Talian, Fadi Al Machot, Xueqi Zhang, Noel Vizcaino, Mohamed El Bahnasawi, Gerhard Goldbeck
article en

Abstract

Within the Horizon Europe project BatCAT (Battery Cell Assembly Twin), a set of ontologies has been developed to cover use cases on vanadium redox-flow batteries and lithium-ion batteries. Users of our tools will be practitioners and operators in manufacturing, modelling and characterization, as well as business managers. The ontologies in OWL will be the basis for conceptualization at lower and higher logical expressivity (as the YAML data model used within the LinkAhead database and the answer set programming axioms for logic-based optimization). The ontologies will support data ingest and retrieval and semantic interoperability within BatCAT tools and with external components. Here we provide an overview of these ontologies, and of their alignment or mapping to related ones (including BattINFO and the EMMO). Finally we present work on the translation of the ontologies (axioms and facts) from OWL to answer set programming.

Zenodo (CERN European Organization for Nuclear Research)
Università Cattolica del Sacro Cuore (IT), Science and Technology Facilities Council (GB), IFP Énergies nouvelles (FR), Daresbury Laboratory (GB), Centre for Process Innovation (GB), Sci-Tech Daresbury (GB), University of the Sacred Heart (JP), National Institute of Chemistry (SI), University of Klagenfurt (AT), Norwegian University of Life Sciences (NO), Danmarks Nationalbank (DK), Otto-von-Guericke-Universität Magdeburg (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Advanced battery technologies research
DOIOpen Access PDFOpenAlex
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