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 publicationAbstract
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
2024
Autodesk Research Summer Internship: Empowering Innovation and Real-World ExperienceAutodesk Research is looking for great summer interns…
2023
AU 2023: The Design and Make ConferencePrepare to join us at AU 2023 in Vegas this November. …
1994
User learning and performance with marking menusA marking menu is designed to allow a user to perform a menu selection…
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