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

Michael Chrubasik, Chris T.S. Lorch, P. M. Duncan
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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.
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用于度量术语的基于本体的rest - api:作为服务的词汇表
−即使在当今相互关联的测量世界中,组织、nmi和众多学科的利益相关者也使用他们自己的专业术语来传达与测量、实验和项目相关的信息。虽然所使用的术语通常由现有标准或行业规范管理,但这些标准之间的重叠以及应用语言的广度和深度经常导致术语混乱。这给跨学科和跨行业的合作带来了巨大的困难。我们提出了一个框架,在一个扁平的类似术语表的本体中以特定学科的方式记录语义信息,并使其通过RESTful应用程序编程接口(API)进行访问。本文概述了支持这些操作的需求:从词汇表生成、转换到本体,以及通过API最终公开。该方法使用与制药行业一致的用例进行了举例说明,从而促进了几个制药行业合作伙伴和学术机构之间的沟通。
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