Knowledge Representation Learning Method Integrating Relationship Path, Type and Entity Description Information
A technology for relational paths and description information, applied in the field of knowledge representation learning of multi-source information fusion, it can solve the problems of poor discrimination of relational paths, waste of information, fuzzy relational path semantics, etc., and achieve the effect of improving discrimination and accurate semantics.
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[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.
[0048] This embodiment proposes a knowledge representation learning method that integrates relationship path, type, and entity description information. It is a multi-source information fusion knowledge representation learning method. The overall flow chart is as follows figure 1 As shown, it is divided into two parts: data preprocessing and knowledge representation learning. Among them, the data preprocessing part extracts the structural information, relationship path information, type information and entity description information in the knowledge base, and initializes ...
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