Knowledge graph relational data classification method based on syntactic attention neural network
A technology of knowledge graph and neural network, which is applied in the field of entity relationship classification of knowledge graph in complex equipment design process, to achieve the effect of improving the accuracy of prediction and improving flexibility
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[0050] This example uses the aero-engine design manual data set as a specific example for illustration. The data set is based on text data such as aero-engine design manuals, gas turbine performance analysis, and known design knowledge ontology to obtain the entities contained in the design documents. Then, the implementation of knowledge map relational data classification method based on syntactic attention neural network. Among them, the implementation of the knowledge map relational data classification method based on the syntactic attention neural network includes as follows: figure 1 Steps shown:
[0051] S1. Collect design documents of the aeroengine design process. The remote supervision method is used to extract sentences containing more than two entities in text data such as aero-engine design manuals and gas turbine performance analysis, and the relationship between entities is marked.
[0052] S2. Perform text preprocessing on the collected design document...
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