Data Query Method of Science and Technology Management Based on Relational Engine

As the country promotes the reform of science and technology project management, the number of science and technology projects has been increasing. At the same time, science and technology management data is growing rapidly with the characteristics of complex correlation and multi-dimensionality. How to effectively store the enormous data and mine the contained value of the data have become a crucial problem for current researches. First, we propose a science and technology management data model to illustrate the internal relation of project, topic, unit, and person, and then define the model by mathematical representation. According to science and technology management data query requirements, we present a data query method of science and technology management based on relational engine, which comprises query parser, query optimizer, and query executor. Furthermore, we design a prototype system to achieve the query requirements of science and technology management data. This research contributes to data query by providing a query method with relational engine, and improves the efficiency of data query in science and technology management.