Data Information Technology Evaluation Algorithm Based on Knowledge Graph and Feature Recognition

With the continuous development of the economy, a massive amount of data information has been generated. In response to the current problems of slow data analysis speed, low analysis efficiency, and low accuracy of data matching, this paper would identify the features of data information based on the knowledge map, and study the data information technology analysis algorithm through this method. Through the research on the analysis algorithm, the security and regularization degree of data can be effectively improved. Through experiments, it can be found that the accuracy of the data information technology analysis algorithm based on knowledge graph is above 91.8% in ten experiments, and the average matching accuracy of the ten experiments is 93.14%. It is found that based on knowledge graph and feature recognition can effectively improve the speed of data information processing, improve the accuracy of data matching, help people to better use data information, and improve the accuracy and efficiency of the analysis algorithm.