Abstract: The Humanities & Social Sciences thematic databases contain many types of rich data resources. The effective aggregation of data resources is of great significance for improving the knowledge services of the thematic databases. According to the multi-level, multi-dimensional and multi-attribute characteristics of the data resources in the Humanities & Social Sciences thematic databases, based on knowledge Super-network theory, a semantic aggregation model is constructed and a empirical test is carried out by taking the "Thematic Database of Ming History Research" as an example. The model can better reveal the data resources of the Humanities & Social Sciences thematic databases from different levels and dimensions, and can also effectively implement the semantic aggregation of various data resources.

Key words: Knowledge Super-network, Thematic Databases, Data Aggregation, Humanities & Social Sciences, Knowedge service