Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the wide application of natural language processing technology, the increasing amount of hot data generated by domain text will bring technical challenges to the construction of domain data set labels

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The present invention is described in further detail now in conjunction with accompanying drawing.

[0068] The invention discloses a data mining and tree structure-based information inversion method of a knowledge map of river facies, which belongs to the technical field of knowledge maps and the field of river facies in geosciences. It includes step 1: extracting entities by using named body recognition in fluvial facies literature and manually improving entity types; step 2: constructing hierarchical relationships based on entity types in step 1, mainly lithological relationships and structural relationships; step 3: according to step Step 1 and step 2 construct the river facies knowledge map in the expert field; step 4: construct the river facies tree structure nodes according to step 3, so that each node exists in a tree structure; step 5: according to step 4, construct the river reverse inference method, and through the input of a single entity or entity combinati...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com