Fluvial facies knowledge graph backstepping method based on data mining and tree structure

A tree structure, data mining technology, applied in the direction of electrical digital data processing, natural language data processing, special data processing applications, etc., to achieve the effect of improving mining efficiency, reducing global search time, and reducing deduction training time

Pending Publication Date: 2022-03-01
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

With the wide application of natural language processing technology, the increasing amount of hot data

Method used

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  • Fluvial facies knowledge graph backstepping method based on data mining and tree structure
  • Fluvial facies knowledge graph backstepping method based on data mining and tree structure
  • Fluvial facies knowledge graph backstepping method based on data mining and tree structure

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[0067] The present invention will now be described in further detail with reference to the drawings.

[0068] The present invention discloses a river-based knowledge map information of a data mining and a tree structure, which belongs to the technical field of knowledge maps and the field of geographical rivers. It includes step 1: By using a nomenclature in the river phase identification entity and through artificial perfect type; Step 2: Constructing hierarchical relationship according to step 1 Mainly a rock property relationship and structural relationship; Step 3: According to steps 1 and Step 2 Construct the river phase knowledge map; Step 4: Construct the river phase tree structure node according to step 3, so that each node is present in a tree structure; step 5: According to step 4, build rivers Methods, and enters a single entity or entity combination to reverse the combination ratio of river phase level relationship and screen the best possibilities.

[0069] The river ...

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Abstract

The invention discloses a fluvial facies knowledge graph backstepping method based on data mining and a tree structure, and belongs to the technical field of natural language processing. The method comprises the following steps: 1, extracting entities in fluvial facies literatures by using named body recognition, and manually perfecting entity types; 2, constructing hierarchical relationships mainly including rock relationships and structural relationships according to the entity types in the step 1; 3, constructing an expert domain fluvial facies knowledge graph according to the step 1 and the step 2; 4, constructing fluvial facies tree structure nodes according to the step 3, and enabling each node to exist in a tree structure; and 5, according to the step 4, constructing a fluvial phase inversion method, inputting a single entity or an entity combination by an expert to inversely derive a combination ratio of a fluvial phase hierarchical relationship, and screening out an optimal possibility. The method is suitable for information acquisition and analysis work of heterogeneous data.

Description

technical field [0001] The invention relates to a method for inverting river facies knowledge map based on data mining and tree structure, and belongs to the technical field of natural language processing. Background technique [0002] Natural language processing is an interdisciplinary subject that integrates linguistics, computer science, mathematics and other related fields. Natural language processing technology has gradually penetrated into all walks of life for text data mining and information storage. At present, a large number of enterprises and organizations use natural language processing technology to screen out valuable core hotspots from the ever-increasing data information in whole or in part, so as to reduce retrieval time and improve the ability to analyze information. From the perspective of named entity recognition, while satisfying the analysis and understanding of unstructured text, it is necessary to ensure the scalability of data. The amount of text da...

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06F40/242G06F40/295G06N3/04
CPCG06F16/367G06F16/35G06F40/242G06F40/295G06N3/048G06N3/044
Inventor 胡志臣许小龙胡祥奔郭浩然
Owner NANJING UNIV OF INFORMATION SCI & TECH
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