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Subgraph extraction method for accurately describing element semantics in knowledge graph

A technology for describing knowledge and knowledge graphs, which is applied in the field of subgraph extraction that accurately describes the semantics of elements in knowledge graphs, to achieve the effects of reducing negative impacts, good application prospects, promotion scope, and good versatility

Active Publication Date: 2021-01-22
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no effective method to accurately describe the entity semantic subgraph in the knowledge graph and extract it efficiently

Method used

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  • Subgraph extraction method for accurately describing element semantics in knowledge graph
  • Subgraph extraction method for accurately describing element semantics in knowledge graph
  • Subgraph extraction method for accurately describing element semantics in knowledge graph

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0023] The present invention proposes a subgraph extraction method that accurately describes the semantics of elements in the knowledge graph. By analyzing the representation characteristics of the semantics of knowledge graph elements such as concepts, relationships, and entities in the knowledge graph, the circuit model is used to realize the semantic subgraph of the description elements. Modeling and Extraction. Semantic subgraphs can accurately describe the semantic context of elements in knowledge graphs, and this description is easy to understand and interpretable, and can be widely used in various intelligent applications based on knowledge graphs.

[0024] As a specific embodiment of the present invention, the present invention provides a logic flow chart such as figure 1 A subgraph extraction method that accurately describes the semant...

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Abstract

The invention discloses a subgraph extraction method for accurately describing element semantics in a knowledge graph. By analyzing representation characteristics of semantics of knowledge graph elements such as concepts, relations and entities in a knowledge graph, semantic sub-graph modeling and extraction of description elements are realized by utilizing a circuit model. The semantic subgraph can accurately describe the semantic context of the element in the knowledge graph, and the description has the characteristics of being easy to understand and interpretable, and can be widely appliedto various intelligent applications based on the knowledge graph.

Description

technical field [0001] The invention belongs to the field of artificial intelligence knowledge graphs, in particular to a subgraph extraction method that accurately describes the semantics of elements in the knowledge graph. Background technique [0002] Knowledge graph is one of the core technologies of cognitive intelligence, which is widely used in machine translation, information retrieval, intelligent question answering and other scenarios. How to construct and describe the real semantics of elements in a knowledge graph is a fundamental problem for a large number of knowledge graph applications. Although the knowledge graph representation learning method based on deep learning can represent the elements and triples in vector form, this implicit representation is not intuitively interpretable and understandable. In terms of explicit semantic representation, the identification and annotation text of an element can reflect the partial semantics it represents to a certain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/36G06F40/216G06F40/295G06F40/30
CPCG06F16/3344G06F16/367G06F40/216G06F40/295G06F40/30
Inventor 汪鹏徐忠锴
Owner SOUTHEAST UNIV