Construction and Application of Chinese Enterprise Knowledge Graph Based on Neural Networks

Due to increased entrepreneurial awareness and policy incentives, the number of enterprises is growing and the relation between enterprises are complex. This poses challenges for enterprise managers and financial practitioners in terms of efficient enterprises supervision and discovery of hidden relation between enterprises. As one of the powerful tools of knowledge engineering, knowledge graph can solve this problem to a certain extent. However, the utilization rate of unstructured data is low in the construction of the enterprise knowledge graph. In addition, in most research work, an aspect of constructing the knowledge graph is emphasized in isolation, the entire processing flow is ignored. In order to solve this problem, this paper uses the deep learning model to propose a process and method for building a Chinese enterprise knowledge graph based on unstructured data on the web, and realizes the application of retrieval and question answering.