Work

Semantic Representation of Processes with Ontology Design Patterns

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17507318

Authors: Norouzi, Ebrahim, Hertling, Sven, Waitelonis, Jörg, Sack, Harald

Institutions: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, University of Mannheim, Karlsruhe Institute of Technology

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7103896894

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