Construction of Machine News Production System Based on Graph Database and Natural Language Generating Technology

The using of machine to write news automatically has greatly increased news' output and efficiency in media organizations. However, the number of news subject applicable to machine news writing technology is limited, and the form of machine news expression is relatively single. By analyzing the writing methods and principles of machine news and the characteristics of news materials storage database, as well as the types, sources and usage requirements of news information data, it was proposed that the data storage methods and production of machine news can be improved by using graph database tools and natural language generation technology; and then a machine news production system composed of four levels and nine modules was constructed, and the system's design ideas, logical framework and operation process were elaborated. The development and application of that system will broaden the field of machine news production and enrich the presentation of machine news.