This paper provides a demo of the Punya framework, introduced in our resource track paper titled “The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features.” In this demo, we focus on using the Punya framework to build clinical research apps with a particular focus on Type 2 diabetes research. We demonstrate how Semantic Web and biomedical researchers can utilize Punya to rapidly prototype mobile semantic apps. Apps developed with Punya can consume Linked Data, thus exploiting the vast biomedical data sources available on the Web; while producing RDF from the app for downstream analysis. Researchers can also write semantic rules to encode clinical guideline recommendations in a visual manner within the Punya framework. Due to the intuitive and visual editing environment, researchers can easily tweak complex decision-logic rules.

Rapid Prototyping of Mobile Apps for Clinical Research using Semantic Web Technologies

Loseto Giuseppe;
2021

Abstract

This paper provides a demo of the Punya framework, introduced in our resource track paper titled “The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features.” In this demo, we focus on using the Punya framework to build clinical research apps with a particular focus on Type 2 diabetes research. We demonstrate how Semantic Web and biomedical researchers can utilize Punya to rapidly prototype mobile semantic apps. Apps developed with Punya can consume Linked Data, thus exploiting the vast biomedical data sources available on the Web; while producing RDF from the app for downstream analysis. Researchers can also write semantic rules to encode clinical guideline recommendations in a visual manner within the Punya framework. Due to the intuitive and visual editing environment, researchers can easily tweak complex decision-logic rules.
Mobile App Development · Research Apps · Clinical Apps · Linked Data · Semantic Rules · Rapid Prototyping
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12572/8294
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