Entity optimization method based on attribute calculation and knowledge template
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An optimization method and entity technology, applied in the information field, to achieve the effect of improving quality and avoiding entity redundancy
Active Publication Date: 2020-05-15
XI AN JIAOTONG UNIV +1
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[0006]
The technical problem to be solved by the present invention is to provide an entity optimization method based on attribute calculation and knowledge template to address the problems of entity redundancy and relationship errors in the preliminarily established power equipment knowledge graph. process to improve the quality of the knowledge base
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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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Abstract
The invention discloses an entity optimization method based on attribute calculation and a knowledge template, and the method comprises the steps: building a knowledge base which comprises a pluralityof entities and the related information of each entity attribute, and building the entities and the related information of the attributes of the entities to form the feature vector of each entity; according to the feature vector, constructing a relationship vector among a plurality of entities; taking any two entities, fusing the feature vectors of the entities and the relation vectors between the entities, and representing the similarity between the two entities and the relation vectors according to the fused result; repeating the above steps until the relationship between each entity and the entity is fused; and judging whether the two entities are the same entity or not according to the similarity. According to the method, rough knowledge can be condensed, the quality of knowledge in the knowledge base is guaranteed while the scale of the knowledge base is reduced, and a guarantee is provided for utilization and iterative updating of the knowledge base.
Description
technical field [0001] The invention belongs to the field of information technology, and in particular relates to an entity optimization method based on attribute calculation and knowledge template. Background technique [0002] With the steady advancement of the construction of the State Grid Corporation's full-service unified data center, various units and departments are vigorously carrying out innovative applications of big data, and various research results have emerged one after another, and have achieved certain results. In this context, actively exploring the application of new technologies and methods in the process of business development and center construction plays an important role in improving the quality and level of the company's data management, lean management and scientific decision-making. [0003] The knowledge graph is a relatively general formalized description framework for semantic knowledge, and its composition mainly includes two parts: nodes and ...
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