Medical knowledge map fusion method and device based on multiple data sources
A medical knowledge, multi-data source technology, applied in the field of medical knowledge graph fusion, can solve the problem of difficulty in integrating medical knowledge graphs from different data sources, and achieve the effect of strong expression ability
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[0044] The knowledge graph may include multiple groups of "entity-relationship-entity" RDF (Resource Description
[0048] Preferably, the classic translation model TransE can be used. TransE is an entity- and relationship-based distributed
[0052]
[0058] Each reference vector obtained based on the reference knowledge graph can be formed into an initial reference vector set.
[0060] According to the reference vector set, two-way supervision training can be performed on each of the first initial vectors and each of the second initial vectors,
[0067] Specifically, when performing bidirectional supervision training, first determine the pre-fusion entity pair.
[0070] There is a relationship, which means that in the reference knowledge graph, there is an instance including two entities in the pre-fused entity pair.
[0083] Specifically, the difference between the first distance and the second distance obtained according to the same pair of pre-fused entities is calculated.
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