AN INTRODUCTION TO SEMANTIC MODELING FOR LOGISTICAL SYSTEMS

Abstract

The underlying success of logistics depends on the flow of data for effective management. The primary tool for interpreting the meaning of data includes a significant number and variety of mathematical models. In this article, Semantic Modeling, a set of computer languages and protocols that allow for the free flow of models within a network, is introduced. This approach can improve the productivity of logistical modeling in practice.