Full-field product node system dynamic fusion and growth method

A growth method and product technology, applied in biological neural network models, special data processing applications, unstructured text data retrieval, etc., can solve problems such as the inability to accumulate industry knowledge and the inability to quickly build industry product knowledge systems, and achieve improved automation and the effect of intelligence

Pending Publication Date: 2022-01-28
杭州量知数据科技有限公司
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Problems solved by technology

[0005] In view of this, the present invention aims to solve the problem that it is impossible to accumulate industry knowledge in experts' minds in industry analysis and resea

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  • Full-field product node system dynamic fusion and growth method
  • Full-field product node system dynamic fusion and growth method
  • Full-field product node system dynamic fusion and growth method

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Embodiment Construction

[0036] 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 part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0037] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, steps, operations or elements, but do not exclude one or more other features, steps , operations, and the presence or addition of element sets.

[0038] It should also be understood that when directional indications are involved in the embodiments of the present invention, ...

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Abstract

The invention provides a full-field product node system dynamic fusion and growth method. For cognitive decision-making requirements for fine-grained emerging fields in the economic development process of the regional industry, on the basis of an existing authoritative product classification system, product concept nodes are continuously mined from massive internet semi-structured and non-structured heterogeneous data sources by using natural language processing such as concept acquisition, relationship discrimination and attribute fusion and a knowledge graph technology, and product concepts are represented by using a text embedding technology; and the relation between the product concept and the original product system nodes is judged, fused and hooked, so that the content of the node system is continuously expanded, and a set of full-field product node system capable of dynamically fusing and growing is formed. In addition, according to the method, the authority and the accuracy of a full-field product node system can be ensured in a man-machine collaborative interaction process in the system construction and updating process.

Description

technical field [0001] The invention relates to the fields of computer technology, artificial intelligence, and natural language processing, and in particular to a method for dynamic integration and growth of product node systems in all fields. Background technique [0002] With the development of computer science and artificial intelligence technology, automation and intelligence have become the key elements in the digital innovation and upgrading of various industries, especially in the economic digital reform, the traditional cognitive analysis and decision-making of regional industrial economic development rely on experts Experience, submerged a lot of labor costs, unable to effectively abstract and precipitate the product system framework in industrial analysis, let alone implement fast and effective standardized construction of fine-grained product framework systems. [0003] Combined with the scenario requirements of product system construction, the product system in ...

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06N3/04
CPCG06F16/367G06F16/35G06N3/04
Inventor 张啸天宗畅杨彦飞许源泓
Owner 杭州量知数据科技有限公司
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