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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.

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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.

Associated Autodesk Researchers

Hyunmin Cheong

Principal Research Scientist
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