Service Dynamic Mapping Algorithm for Industry Chain Knowledge Graph

The industrial chain knowledge graph is an industrial chain analysis method based on knowledge graph technology, which can present knowledge, entities, and relationships in a structured way in a specific field. Through the industrial chain knowledge graph, the various links in the industrial chain can be clearly understood, thus enabling the quick discovery of relevant entities and relationships in the user's desired field. Service mapping is crucial for service organization, discovery, and management. However, there are currently many problems with service mapping, as services in various fields on the Internet exist in a chaotic manner, making it difficult for users to quickly discover relevant service information in their desired field. Currently, methods for organizing and managing services based on the industrial chain knowledge graph are not widely available. To improve the efficiency and accuracy of service mapping, this article proposes a dynamic service mapping algorithm based on the industrial chain knowledge graph. This method organizes and manages services in various fields through the industrial chain knowledge graph, and calculates the similarity between feature words based on the word2vec model, combined with the TF-IDF inverse document frequency to comprehensively calculate the similarity between industrial chain segments and services. When the similarity is greater than a specified threshold, the segment and the service are automatically mapped. The results show that this method can greatly improve the efficiency and accuracy of service mapping, thereby greatly improving the efficiency of service organization and discovery.