Knowledge graph construction method, device and system

A knowledge map and knowledge extraction technology, applied in the field of computer data processing, can solve problems affecting the accuracy and efficiency of knowledge map construction, complex preprocessing process, single source of calculation data, etc., to improve accuracy and efficiency, and improve accuracy and the effect of high efficiency
CN110197280AActive Publication Date: 2019-09-03BANK OF CHINA

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
BANK OF CHINA
Publication Date
2019-09-03

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Abstract

The embodiment of the invention discloses a knowledge graph construction method, device and system. The method comprises the steps of obtaining the unstructured data, semi-structured data and structured data of a target topic according to an industrial chain relationship; performing the natural language processing on the unstructured data, and processing the unstructured data subjected to the natural language processing and the semi-structured data by utilizing a machine learning algorithm; performing data conversion on the structured data and the unstructured data and the semi-structured dataprocessed by using a machine learning algorithm to obtain the to-be-processed data; and performing knowledge extraction and knowledge fusion on the to-be-processed data to obtain a knowledge graph corresponding to the target topic. By utilizing each embodiment of the specification, the accuracy and efficiency of the knowledge graph construction can be greatly improved.
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Description

technical field

[0001] The present invention relates to the technical field of computer data processing, in particular, to a method, device and system for constructing a knowledge map. Background technique

[0002] The emergence of the knowledge graph concept and technology provides an important direction for financial institutions to improve data utilization efficiency and break through the current production and operation difficulties. Reasoning based on knowledge graphs provides efficient and accurate decision support for financial institutions to carry out business. The construction of knowledge graphs in the financial field can guide financial structures to carry out efficient risk prevention and control, precise marketing to acquire customers, and accurate prediction of future trends of existing customers, which promotes the development of multi-party business and achieves a win-win situation for all parties. However, the traditional knowledge map construction method r...

Claims

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