Method and system for automatically constructing knowledge maps for mass unstructured texts

An unstructured, knowledge graph technology, applied in the field of computer software, can solve the problems of low degree of automation, few automatic knowledge graph construction methods, and difficult maintenance, etc., to reduce human resource costs, improve field portability, and improve time efficiency. Effect

Active Publication Date: 2018-11-23
GLOBAL TONE COMM TECH
View PDF3 Cites 94 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: At present, there are few automatic construction methods of knowledge graphs for massive unstructured texts, and the technical difficulty is relatively high.
The existi

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
  • Method and system for automatically constructing knowledge maps for mass unstructured texts
  • Method and system for automatically constructing knowledge maps for mass unstructured texts
  • Method and system for automatically constructing knowledge maps for mass unstructured texts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] The method for automatically constructing knowledge graphs oriented to unstructured Internet texts provided by the present invention is more universal, and can rapidly build large-scale knowledge graphs.

[0047] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] Such as figure 1 As shown, the method for automatically constructing a knowledge map for massive unstructured text provided by the embodiment of the present invention includes the following steps:

[0049] S101: abstract the problem of named entity recognition into a ...

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 belongs to the technical field of computer software, and discloses a method and a system for automatically constructing knowledge maps for mass unstructured texts. The method comprises the steps of: abstracting a named entity recognition problem into a sequence labeling problem by giving a sentence and labeling each word in the sequence of sentences; designing effective features according to the training data, learning various classification models, and using trained classifiers to predict relationships; linking multiple existing knowledge to create a large-scale and unified knowledge network from the top; and capturing and integrating entity information from three online encyclopedias, open websites, related knowledge bases, or search engine logs. According to the method andthe system for automatically constructing knowledge maps for mass unstructured texts, the construction speed of the knowledge maps can be greatly improved, the time efficiency is improved, and the human resource cost is reduced by more than 30%. In addition, the method and the system have better domain portability, and the construction of the knowledge map can be quickly implemented by only optimizing the entities and relationship extraction algorithms in the invention.

Description

technical field [0001] The invention belongs to the technical field of computer software, and in particular relates to a method and system for automatically constructing a knowledge graph facing massive unstructured texts. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Knowledge Graph aims to describe the entities of the objective world and the relationship between them. attribute composition. In 2012, Google first launched the knowledge graph and used it to enhance search results in search engines, which also marked the successful application of large-scale knowledge graphs in Internet semantic search. In other words, the knowledge graph is composed of a large amount of knowledge, and each piece of knowledge is represented by a triplet, for example: (China, capital, Beijing). At present, knowledge graphs are mostly extracted and constructed from encyclopedic structured data; knowledge graphs can serve cust...

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): G06F17/30
CPCG06F16/00
Inventor 李世奇程国艮
Owner GLOBAL TONE COMM TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap