AIMMSEJan 21, 2020

AutoMATES: Automated Model Assembly from Text, Equations, and Software

arXiv:2001.07295v1
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of model integration for researchers and practitioners in scientific computing, but it appears incremental as it builds on existing representations without introducing a fundamentally new paradigm.

The AutoMATES project tackles the problem of integrating computational models from different domains by building semantically-rich unified representations from scientific code and publications, aiming to facilitate the modeling of large, complicated systems that span multiple domains and levels of abstraction.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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