Analysis processing and knowledge graph construction method based on multi-source heterogeneous big data

The invention discloses a multi-source heterogeneous big data-based analysis processing and knowledge graph construction method, which comprises the following steps of: 1, obtaining a data source: firstly obtaining structured data, semi-structured data and non-structured data by virtue of a known information data means and a network retrieval data means respectively to form a primary knowledge graph data mixed library, mass data sources are obtained through a large range, multiple fields and various channels, knowledge extraction processing is carried out on various obtained mass databases in advance through knowledge extraction, and then a more accurate knowledge graph database is obtained through field ontology library construction and global ontology library construction in sequence. And finally, after entity alignment and entity link rule processing, user operation and management and control are carried out in an application platform mode, the high-precision multi-data fusion building effect according to