Publication | Formal Ontologies Meet Industry 2018

Translating JSON Schema logics into OWL axioms for unified data validation on a digital manufacturing platform

This paper explores how a semantics technology based on OWL could be used to enable unified data validation on a digital manufacturing platform such as Forge.

Download publication

Abstract

Translating JSON Schema logics into OWL axioms for unified data validation on a digital manufacturing platform

Hyunmin Cheong

Formal Ontologies Meet Industry 2018

JSON (JavaScript Object Notation) is a prevalent data format used in cloud-based platforms that support composable digital manu- facturing workflows. The current work presents a method to translate the logics found in JSON Schema into OWL axioms, in order to facilitate ontology-based unified data validation with JSON data. The specific contributions of this paper include the demonstra- tion of using a formal ontology for the logic translation and data validation, a technique for disambiguating implicit relations found in JSON Schema as explicit OWL properties, and mapping JSON Schema validation keywords to equivalent OWL expressions.

Related Resources

Publication

2012

Understanding Analogical Reasoning in Biomimetic Design: An Inductive Approach

This paper reports insights gained from observing groups of novice…

Publication

2022

In-Depth Mouse: Integrating Desktop Mouse into Virtual Reality

Virtual Reality (VR) has the potential for productive knowledge work,…

Publication

2011

Swimming Upstream in Sustainable Design

Ballpark figures can often be quite helpful…

Publication

2015

Designing for AM: Integrating Mesh-Based Modelling Techniques with Parametric CAD

The growing use of additive manufacturing lifts many constraints on…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us