Semantic based logistics data exchange model

Abstract

In recent years, with the rapid development of various logistics industries, all kinds of logistics information systems and platforms have developed synchronously and rapidly. Due to its industry characteristics, there are natural rigid requirements of multi-source, heterogeneous constraints and business collaboration and sharing in the data exchange between logistics information systems. The data exchange based on semantic guidance will become the core foundation of the intelligent logistics information system platform. Therefore, this paper studies the knowledge sharing in the field of logistics, and studies the logistics data exchange model based on semantic guidance. Firstly, it analyzes and studies the standards in the field of logistics at home and abroad. Then, through the expansion of logistics semantics, the technology of ontology, metadata and Knowledge Graphs is used for annotation. According to the system theory, a three-tier standard system model is proposed and constructed to guide the construction of Knowledge Graphs for data exchange of multi-source heterogeneous logistics information system. The model integrates the metadata and ontology standards related to the field at home and abroad, reveals the important idea of taking the metadata standard as the core in the construction of Knowledge Graphs, makes the Knowledge Graphs constructed in the field realize semantic standardization, lays the foundation for knowledge sharing and interoperability, and provides semantic standards for the data exchange of multi-source and heterogeneous logistics information systems.