ONTOLOGY-BASED REST-APIS FOR MEASUREMENT TERMINOLOGY: GLOSSARIES AS A SERVICE

Michael Chrubasik, Chris T.S. Lorch, Paul M. Duncan

Abstract

Even in today's connected world of measurement, organisations, NMIs and stakeholders across a multitude of disciplines employ their own specialised terminology to convey information relating to measurement, experimentation, and projects. While the terminology used is often governed by existing standards or industry norms, the overlaps between these standards and the breadth and depth of applied language frequently result in confusing terminology landscapes. This introduces significant difficulties for cross-disciplinary and cross-industry collaboration. We present a framework to record semantic information in discipline-specific parlance within a flat glossary-like ontology and make it accessible through a RESTful Application Programming Interface (API). This paper outlines the requirements to enable such operations: from vocabulary generation, transformation to ontology, and final exposure via an API. The methodology was exemplified using a pharmaceutical industry-aligned use case, whereby communication between several pharmaceutical industry partners and academic institutions was facilitated.

Keywords

ontology, RESTful, terminology, reproducibility, collaboration

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IMEKO-TC6-2022-023.pdf

DOI

10.21014/tc6-2022.023

IMEKO TC

TC6 - Digitalization

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