Semantic web based method for acquiring implicit relationship among steel iron making process knowledge

A technology of manufacturing process and acquisition method, applied in relational databases, special data processing applications, instruments, etc., can solve problems such as limiting knowledge sharing and effective dissemination, achieve easy maintenance, reusability and easy maintenance, and enhance flexible expression. , express flexible effect

Inactive Publication Date: 2016-07-27
TONGJI UNIV
View PDF4 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These shortcomings limit the sharin...

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
  • Semantic web based method for acquiring implicit relationship among steel iron making process knowledge
  • Semantic web based method for acquiring implicit relationship among steel iron making process knowledge
  • Semantic web based method for acquiring implicit relationship among steel iron making process knowledge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment, present embodiment carries out implementation on the premise of the technical scheme of the present invention, has provided detailed implementation mode and specific operation process, but protection scope of the present invention is not limited to the following the embodiment.

[0043] Step 1: The abstract extraction of knowledge triples is to obtain the concepts and relationships that make up the knowledge through knowledge acquisition through expert experience, technical documents and data analysis, and to make the concepts and relationships according to the RDF of "resource-attribute-attribute value" Triple form for extraction and organization. Such as Figure (1a) ~ (1c) As shown, taking the LT dry method as an example, through the knowledge acquisition of expert experience, technical documents and data analysis, the RDF triple form of "resource-att...

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 relates to a semantic web based method for acquiring an implicit relationship among steel iron making process knowledge. The method is used for accurately expressing the implicit relationship among the steel iron making process knowledge. The method comprises the following steps of 1) performing triple expression on the steel iron making process knowledge to establish an initialized model of a concept and the relationship of the steel iron making process knowledge; 2) converting the initialized model to construct an ontology base; 3) performing semantic mapping on production standard data and the ontology base to construct a semantic web model; 4) performing formalized expression on a constraint condition of the concept and the relationship in the steel iron making process knowledge by adopting a semantic web rule language (SWRL) to establish a knowledge reasoning-oriented rule base; and 5) according to the semantic web model and the rule base, obtaining implicit associated information of the steel iron making process knowledge. Compared with the prior art, the method has the advantages of reusability, easiness for maintenance, flexibility for expression, fullness for discovery, strong data correlation and the like.

Description

technical field [0001] The invention relates to the manufacturing process of high value-added products in the iron and steel industry, in particular to a semantic web-based method for acquiring implicit relationships among knowledge in the iron and steel manufacturing process. Background technique [0002] The production of high-end, high-value-added products in iron and steel enterprises is an innovative, knowledge-intensive production process that requires corresponding equipment and manufacturing specifications, involving knowledge in multiple fields such as production cases, material information, process information, design methods, rules, and experience. Therefore, facing the sustainable development needs of the iron and steel industry, strengthening the independent innovation capabilities of process software and knowledge bases in the production process of the iron and steel industry, and improving the production capacity of high value-added products in the iron and ste...

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
CPCG06F16/288
Inventor 王坚凌卫青戴毅茹鲍清
Owner TONGJI UNIV
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