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

Packaging industry big data knowledge graph construction method and device

A technology of knowledge graph and big data, which is applied in the field of big data knowledge graph construction in the packaging industry, and can solve problems such as difficulty in modifying data structure and business logic, poor scalability, and information aggregation

Inactive Publication Date: 2018-08-24
HUNAN UNIV OF TECH +1
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Packaging industry data is scattered in multiple systems, and data from different sources have different structures. It is difficult to aggregate this information with existing technologies, and there is a demand for data fusion in the packaging industry
At the same time, most of the data on the Internet is unstructured data, which cannot be understood by computers.
At the same time, when there is a new business cognition, it is difficult to change the mode of traditional relational database construction, and it is very difficult to modify the data structure and business logic, which will bring bad situations such as poor scalability and high maintenance costs.

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
  • Packaging industry big data knowledge graph construction method and device
  • Packaging industry big data knowledge graph construction method and device
  • Packaging industry big data knowledge graph construction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066]

[0067]

[0068]

[0069] ;Properties are divided into object properties (object property) and numerical properties (data typeproperty); properties have their corresponding domain range (domain) and value range (range).

[0070] (5) Alias ​​of knowledge points, instances and attributes: different titles of the same entity.

[0071] (6) Other language names (labels) of knowledge points, instances and attributes: the corresponding names of the same entity in different languages.

[0072] (7) Data types: Simple types include integers, floating-point numbers, and strings; collection types; object types.

[0073] (8) Introduction: Each knowledge point or instance has a corresponding text introduction.

[0074] The main purpose of building a big data knowledge map of the packaging industry is to obtain a large amount of packaging knowledge that can be read by computers. With the rapid development of t...

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 provides a packaging industry big data knowledge graph construction method and device. While a packaging knowledge graph is constructed, non-structured data can be structured, so that afoundation is laid for further semantic analysis calculation. In addition, data of the packaging industry is modeled by utilizing the knowledge graph, and a data mode can be freely expanded.

Description

technical field [0001] The invention relates to a method and equipment for constructing a big data knowledge map of the packaging industry. Background technique [0002] Packaging industry data is scattered in multiple systems, and data from different sources have different structures. It is difficult to aggregate this information with existing technologies, and there is a need for data fusion in the packaging industry. At the same time, most of the data on the Internet is unstructured data, which cannot be understood by computers. At the same time, when there is a new business cognition, it is difficult to change the model of the traditional relational database construction, and it is very difficult to modify the data structure and business logic, which will bring bad situations such as poor scalability and high maintenance costs. Contents of the invention [0003] The purpose of the present invention is to provide a method and equipment for building a big data knowledge...

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
CPCG06F16/367G06F16/95
Inventor 李长云吴岳忠丁军朱俊杰
Owner HUNAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com