Suspended entity detection method, entity alignment method and related equipment
A detection method and a technology of entity pairs, applied in the field of knowledge graphs, can solve problems such as the absence of hanging entity detection methods, and achieve a good alignment effect
Pending Publication Date: 2022-04-29
IFLYTEK (SUZHOU) TECH CO LTD
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Problems solved by technology
In order to make the effect of knowledge fusion better, before the entity alignment of the source knowledge graph and the target knowledge graph, it is first necessary to detect the dangling entity on the source knowledge graph. However, there is no dangling entity detection method at present.
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[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0058] In order to be able to detect hanging entities, the applicant has conducted research. The initial idea is: for each entity to be detected in the source knowledge graph, first obtain the representation vector of the entity to be detected, and obtain each entity in the target knowledge graph Then map the representation vector of the entity to be detected in the source knowledge graph to the vector space where the representation vector of the entity in the ...
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The invention provides a suspended entity detection method, an entity alignment method and related equipment, and the method comprises the steps: obtaining a source knowledge graph and a target knowledge graph; screening candidate suspended entities from the source knowledge graph by using the target knowledge graph to obtain a candidate suspended entity set; and determining a suspended entity from the candidate suspended entity set based on the condition that the neighbor entities of the candidate suspended entities in the candidate suspended entity set have entities with the same meaning in the target knowledge graph. The suspended entity detection method provided by the invention can accurately detect the suspended entity in the source knowledge graph. On the basis of providing the suspended entity detection method capable of accurately detecting the suspended entities in the source knowledge graph, the invention also provides an entity alignment method, and the entity alignment method can obtain a better entity alignment effect.
Description
technical field [0001] The present invention relates to the technical field of knowledge graphs, in particular to a hanging entity detection method, entity alignment method and related equipment. Background technique [0002] Since its birth in 2012, Knowledge Graph (KG) has been playing a key role in promoting the rapid development of big data and artificial intelligence technology. With the deepening of the application of knowledge graph technology, knowledge graph has become the most important form of knowledge representation in the era of big data. As a large-scale semantic network, the knowledge graph mainly describes various entities and various semantic relationships between them. [0003] From the perspective of content, the knowledge graph includes several triples, each triple is essentially a piece of knowledge, the type of triples includes relational triples and attribute triplets, and the form of relational triples is (entity , relationship, entity), such as (D...
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CPCG06F16/367
Inventor 李安庭李直旭瞿剑锋郑新陈志刚
Owner IFLYTEK (SUZHOU) TECH CO LTD