Research on the Construction of Knowledge Service Model of Port Supply Chain Enterprise in Big Data Environment

In the context of the rapid development of big data and artificial intelligence, with the help of the knowledge service theory system and big data technology to build a smart port supply chain knowledge service model to provide a personalized, intelligent, and diversified knowledge-based service system platform solution to port supply chain enterprises, which is of great significance to realization of port supply chain transformation and upgrading and intelligent integrated operation. This paper analyzes and summarizes the research status of knowledge service demand and port supply chain knowledge service during the development and operation of port supply chain, and applies big data and artificial intelligence technologies such as knowledge matching, knowledge fusion, and natural language processing. The port supply chain knowledge service model including knowledge acquisition, knowledge organization and knowledge service modules is constructed. Ontology method is used to construct the ontology knowledge base of port supply chain, and based on this, computational reasoning experiments are performed. The experiments show that the ontology technology shows good effectiveness and superiority in constructing the knowledge service system model of the port supply chain in terms of knowledge representation and knowledge reasoning.