Study of Multi-source Data Fusion in Topic Discovery

This review provides an introduction to MSDF in topic discovery, and discusses the status quo of the methods and applications of MSDF. This review has investigated the main thoughts of MSDF and proposed that MSDF could be divided into the fusion of data types and fusion of data relations. Furthermore, the fusion of data relations could be divided into the cross-integration of multi-mode data and matrix fusion of multi-relational data. This paper studied the methods and technological process of MSDF applicable to information analysis, especially in the competitive intelligence of scientific and technological area.