Semantic Modeling with SUMO
This work provides a proof-of-concept for using SUMO in semantic simulation, potentially offering a less computationally intensive modeling approach for engineers and researchers in simulation and semantic web domains.
This paper explores the use of the Suggested Upper Merged Ontology (SUMO) for semantic simulation, demonstrating its application in modeling transitions within a simulated gasoline engine through two proof-of-concept examples. The approach focuses on less computationally intensive methods, drawing parallels to software engineering testing procedures.
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.