Knowledge reasoning-based big data service label extension method and system

A technology of business labeling and knowledge reasoning, applied in the field of intelligent machines, can solve the problems of consuming huge human resources and complex expansion logic, and achieve the effect of simplifying the work process and improving production efficiency

Active Publication Date: 2020-10-02
CHINA TELECOM SHANGHAI IDEAL INFORMATION IND GRP
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Extending business tags, that is, expanding the entities (keywords and URLs) under the business tags is the most important task at present. There is no mature method at present. Generally, manual expansion or automatic expansion is performed by using programs, but manual expansion is adopted. Not only does it consume a huge

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  • Knowledge reasoning-based big data service label extension method and system
  • Knowledge reasoning-based big data service label extension method and system
  • Knowledge reasoning-based big data service label extension method and system

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Embodiment Construction

[0036] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0037] figure 1 It is a flow chart of the steps of an extension method for big data business tags based on knowledge reasoning in the present invention. Such as figure 1 Shown, the present invention a kind of extension method of the big data business label based on knowledge reasoning, comprises the following steps:

[0038] Step S1, according to business needs, preset expansion scale N ...

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Abstract

The invention discloses a knowledge reasoning-based big data service label extension method and system, and the method comprises the steps: S1, selecting a to-be-extended label and a label subordinatekeyword set K from a preset service label tree, searching each keyword, and obtaining a result-related URL set C; S2, for each keyword, traversing a corresponding URL in the set C, obtaining text content from each webpage, performing semantic analysis on the text, extracting a semantic object and a semantic relationship associated with the keyword, and constructing a semantic relationship knowledge graph; S3, checking and screening entities in the knowledge graph by utilizing the knowledge graph and combining the ontology rule model and taking the to-be-expanded label as a basis, and adding entity attribute contents passing the check into a result set in a keyword form; S4, judging whether the scale of the result set reaches a preset extension scale or not: if so, ending, otherwise, taking the keywords in the result set as a set K, and returning to the step S1.

Description

technical field [0001] The invention relates to the technical field of intelligent machines, in particular to a method and system for expanding big data business tags based on knowledge reasoning. Background technique [0002] In a business-centric enterprise, since various businesses have different types, purposes and scopes, how to obtain, manage and expand various business labels has become an urgent problem, which has great significance. Among them, Obtaining business tags is mainly through simple keyword extraction tools and manual marking, while managing business tags is mainly done through the tag classification system, and the tags of each system are managed in the form of tag trees. [0003] Extending business tags, that is, expanding the entities (keywords and URLs) under business tags is the most important task at present. There is no mature method at present. Generally, manual expansion or automatic expansion is used by programs, but artificial expansion is adopt...

Claims

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Application Information

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IPC IPC(8): G06F16/31G06F16/33G06F16/335G06F16/338G06F16/36G06N5/04
CPCG06F16/367G06F16/316G06F16/334G06F16/335G06F16/338G06N5/04Y02D10/00
Inventor 李铮丁富强陆晋军孙海蒋润青张亮代晓菊周敏杰钱志骥
Owner CHINA TELECOM SHANGHAI IDEAL INFORMATION IND GRP
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