Entity optimization method based on attribute calculation and knowledge template
An optimization method and entity technology, applied in the information field, to achieve the effect of improving quality and avoiding entity redundancy
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Embodiment 1
[0055] In this embodiment, the following steps are specifically included:
[0056] First, by obtaining the relevant information of the entity and its attributes in the knowledge base, the attribute feature vector of the entity is constructed, which contains both the attribute name of the entity and the specific content of the corresponding attribute. Through the construction of vectors, it aims to distinguish entities according to their internal attribute characteristics.
[0057] Secondly, according to the relationship between entities, the relationship vector of the entity is constructed, and the relationship vector measures the external relationship characteristics of the entity.
[0058] Again, the feature vector of the entity is fused with the relationship vector, and the cosine distance of the fused vector is used to represent the similarity between entities. Then compare the calculated similarity with the manually set threshold to judge whether the two entities are the...
Embodiment 2
[0061] In this embodiment, an entity optimization method based on attribute calculation and knowledge template, its implementation process is mainly divided into three stages:
[0062] 1. Calculate the representation vector of the entity
[0063] Taking a certain transformer entity as an example, first we need to obtain all the attribute names of entities such as transformers. Suppose there are n attributes in total, which are attr 1 ,attr 2 ,...,attr n , for each attribute attr i , all possible values of which are k i , respectively value 1 , value 2 ,...,value k , then the dimension of the internal attribute vector of each transformer entity is
[0064] Second, calculate the external relation vector of the transformer entity, for example, the entity e 1 The associated two entities are e m and e n , entity e 2 The three associated entities are e m ,e k and e l , so the length of the constructed vector is the number of elements in the union of the associated ...
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