Semantic data model in multibody system simulation

Abstract

This article introduces an approach for using a semantic data model and knowledge representation technologies in the data management of multibody system simulation. This is accomplished by developing a semantic ontology for multibody system modelling. As an example of semantic ontology modelling, the introduced approach is applied to a simple double-pendulum model. The purpose of the example is to demonstrate that multibody system simulation data can be expressed using semantic data representation. In addition, semantic data representation enables a general and straightforward application integration solution for design tools and other information systems typically involved in the industrial product design process. It is also important to note that this approach enables knowledge of the domain of interest to be stored together with the modelling data. By including rules and constraints with the data and applying a semantic reasoning methodology, the apparent intelligence of the stored data is increased.