A Core Ontology for Particle Accelerators: Interoperable Data and Workflows Across Facilities
Chris Tennant

TL;DR
This paper introduces a shared core ontology for particle accelerators that enables interoperable data and workflows across different facilities, promoting reusable tools and semantic consistency.
Contribution
It presents a lightweight, standard-based ontology and profile system that maps local conventions into a shared vocabulary for enhanced interoperability.
Findings
Demonstrated interoperability on two beamline segments
Single semantic query works across multiple knowledge bases
Supports both sparse and rich descriptions using W3C standards
Abstract
We propose a small, shared core ontology for particle accelerators that provides a semantic backbone for interoperable data and workflows across facilities. The ontology names key device types, signals, parameters, and regions, and relates them through explicit properties (e.g., hasSetpoint, hasReadback, partOf). Each site contributes a lightweight facility bundle, a profile that maps local conventions into the shared vocabulary plus data slices that instantiate those mappings, without renaming channel addresses or changing existing systems. Using standard W3C technologies, the approach supports both sparse and rich descriptions. We demonstrate the idea on two beamline segments at different laboratories. A single semantic query is expressed once and evaluated against both knowledge bases, returning the locally correct PVs. The ontology thereby enables not only portable workflows but…
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Taxonomy
TopicsScientific Computing and Data Management · Particle accelerators and beam dynamics · Particle Accelerators and Free-Electron Lasers
