Semantic Representation of Processes with Ontology Design Patterns

The representation of workflows and processes is essential in materials science and engineering, where reproducibility depends on structured and semantically coherent process models. Although many ontologies exist for process modeling, they often remain complex and difficult to reuse. This work identifies and evaluates reusable Ontology Design Patterns (ODPs) embedded in existing ontologies relevant to scientific workflows and materials engineering. It defines three domain-specific requirements—process structure, data & resources, and project roles—and proposes a baseline method for automatic ODP extraction using semantic similarity and modular ontology techniques. All extracted ODPs and the extraction workflow are openly available at https://github.com/ISE-FIZKarlsruhe/odps4mse.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-02
DOI
https://doi.org/10.5281/zenodo.17507319
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Semantic Representation of Processes with Ontology Design Patterns

Zenodo (CERN European Organization for Nuclear Research)
Business Process Modeling and Analysis
article

Semantic Representation of Processes with Ontology Design Patterns

article en

Abstract

The representation of workflows and processes is essential in materials science and engineering, where reproducibility depends on structured and semantically coherent process models. Although many ontologies exist for process modeling, they often remain complex and difficult to reuse. This work identifies and evaluates reusable Ontology Design Patterns (ODPs) embedded in existing ontologies relevant to scientific workflows and materials engineering. It defines three domain-specific requirements—process structure, data & resources, and project roles—and proposes a baseline method for automatic ODP extraction using semantic similarity and modular ontology techniques. All extracted ODPs and the extraction workflow are openly available at https://github.com/ISE-FIZKarlsruhe/odps4mse.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE), FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE), University of Mannheim (DE)
Openalex Percentile: Top 32%
Business Process Modeling and Analysis
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Semantic Representation of Processes with Ontology Design Patterns · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS