HLA System Development Based on Semantic Enhanced BOM

Creating interaction models are most important part in the process of distributed interaction simulation system development. It is an efficient way for developing models by composition of reusable components. Most simulation system has high complexity in interaction and successful composition of models means correct in both syntactic and semantic level. In HLA, the most popular architecture and provides a unified environment and set of standard simulation interfaces between federates and federations, however, only provides syntactic support and is lack of semantic information. Base Object Model (BOM) facilitates and improves the semantic information of HLA model, and its purpose is to ease reusability and composition. However, there is no sufficient information for BOM discovery and matching in semantic level because that BOM has no rich and clear semantic information. In this paper, we discussed to enhance BOM semantic information by adding a Semantic Enhancement Part to BOM. The enhancement part consists of 4 sub parts: conceptual entity ontology index; pre and post conditions of pattern actions; pattern actions ontology index; and accepted language of BOM state machine. The enhancement part attempts to describe the dynamic information of BOM which captures the essential information in semantic level. Based on the enhancement part, a set of discovery rule is presented. These are a sequence of searching and matching rules in BOM discovery. Finally, we propose a way to achieve verification by CPN (Colored Petri Nets).