AutoMATES: Automated Model Assembly from Text, Equations, and Software
Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp, and Paul D. Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray,, Clayton T. Morrison

TL;DR
AutoMATES is a project that creates unified, semantically-rich representations of complex scientific models by integrating natural language, equations, and software code to enhance cross-domain modeling capabilities.
Contribution
It introduces a novel approach to automatically assemble models from text, equations, and code, enabling better integration and understanding of multi-domain scientific models.
Findings
Unified model representations facilitate cross-domain integration.
Semantic-rich models improve understanding of complex systems.
Automated assembly reduces manual effort in model development.
Abstract
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations. But to be of real use, they must also be implemented as software, thus making code a third form of representing models. We introduce the AutoMATES project, which aims to build semantically-rich unified representations of models from scientific code and publications to facilitate the integration of computational models from different domains and allow for modeling large, complicated systems that span multiple domains and levels of abstraction.
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Taxonomy
TopicsScientific Computing and Data Management · Topic Modeling · Semantic Web and Ontologies
