Semantic Modeling with SUMO
Artificial Intelligence
2021-01-13 v3
Abstract
We explore using the Suggested Upper Merged Ontology (SUMO) to develop a semantic simulation. We provide two proof-of-concept demonstrations modeling transitions in a simulated gasoline engine using a general-purpose programming language. Rather than focusing on computationally highly intensive techniques, we explore a less computationally intensive approach related to familiar software engineering testing procedures. In addition, we propose structured representations of terms based on linguistic approaches to lexicography.
Cite
@article{arxiv.2012.15835,
title = {Semantic Modeling with SUMO},
author = {Robert B. Allen},
journal= {arXiv preprint arXiv:2012.15835},
year = {2021}
}