The invention discloses a
knowledge base construction method based on multi-
modal fusion, which comprises the steps of extracting basic attributes of entities based on information box information of entries in a
data source to establish a binary relationship, and generating a mapping dictionary of the information box attributes and the relationship; establishing a topic entity and
relationship extraction model based on a word vector space and a
conditional random field, and expanding the binary relationship to generate a multivariate relationship template; constructing a
feature set of entities based on the extracted names of the binary relationships, performing
hierarchical clustering division on the entities, constructing a classification
system, and summarizing information of the classification
system; carrying out attribute normalization on data in the
data source according to the inherent attributes and attribute values of the entities; determining a fused
data set, identifying equivalent entities in different data sources according to an entity alignment
algorithm, establishing equivalent links of the same entity in the different data sources, and performing multi-source datafusion; and correcting and expanding the
knowledge graph after multi-
source data fusion to realize automatic knowledge completion.