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Method for deducing event evolutionary graph path

A technology of events and graphs, applied in the field of deduction, can solve problems such as no event extraction, incomplete evolution process, incoherence, etc., and achieve the effect of reducing complexity and improving integrity and coherence

Pending Publication Date: 2021-08-27
慧谷人工智能研究院(南京)有限公司
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Problems solved by technology

[0003] However, most of the existing knowledge graphs do not extract events, especially on domain-specific knowledge graphs, which may lead to incomplete and incoherent evolution process and complex derivation methods

Method used

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  • Method for deducing event evolutionary graph path

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Embodiment Construction

[0019] 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.

[0020] Such as figure 1 Shown:

[0021] In this embodiment, a method for deriving an event graph path includes the following steps:

[0022] Step S1, preset an affair relationship template;

[0023] Step S2, obtaining various types of source data from the data source according to the event detection algorithm;

[0024] Step S3, analyzing the acquired source data;

[0025] Step S4, preprocessing the parsed source data, extracting events, and forming a data ...

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Abstract

The invention discloses a method for deducing an event evolutionary graph path. The method comprises the following steps: S1, presetting an event evolutionary relation template; S2, obtaining various types of source data from the data source according to an event detection algorithm; S3, analyzing the obtained source data; S4, preprocessing the analyzed source data, and performing event extraction to form a data network; S5, carrying out prediction in combination with the data network, and obtaining prediction information; S6, establishing an event evolutionary graph according to a preset event evolutionary relation template and the prediction information; and S7, summarizing the event evolutionary relation events to generate an event evolutionary event library. According to the method, the analyzed source data is preprocessed, events are extracted, the data network is formed, and the corresponding event evolutionary graph is established, so that the integrity and continuity of a generated event evolution process can be effectively improved, and the complexity of deducing an event evolutionary graph path is reduced.

Description

technical field [0001] The invention relates to the technical field of deduction methods, in particular to a deduction method of an event map path. Background technique [0002] Event evolutionary graph is an event logic knowledge base, which describes the evolution rules and patterns between events. The event map defines the relationship between various events, such as: sequential relationship, causal relationship and so on. In essence, the event map is an event logic knowledge base, which describes the evolution rules and patterns between events, and can be applied in many aspects of life, such as event prediction, common sense reasoning, consumption intention mining, dialogue generation, etc. [0003] However, most of the existing knowledge graphs do not extract events, especially on domain-specific knowledge graphs, which may lead to incomplete and incoherent evolution process and complicated deduction methods. Contents of the invention [0004] The object of the pre...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F40/186
CPCG06F16/367G06F40/186
Inventor 王永利黄海泉
Owner 慧谷人工智能研究院(南京)有限公司
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