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A Semantic Web-based Acquisition Method for the Implicit Relationship Between Steel Manufacturing Process Knowledge

A manufacturing process and semantic web technology, applied in relational databases, database models, instruments, etc., can solve problems such as limited knowledge sharing and effective dissemination, and achieve easy maintenance, reusability, easy maintenance, more flexible retrieval, Solve the effect of complex mechanism

Inactive Publication Date: 2020-07-28
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These shortcomings limit the sharing and effective dissemination of knowledge

Method used

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  • A Semantic Web-based Acquisition Method for the Implicit Relationship Between Steel Manufacturing Process Knowledge
  • A Semantic Web-based Acquisition Method for the Implicit Relationship Between Steel Manufacturing Process Knowledge
  • A Semantic Web-based Acquisition Method for the Implicit Relationship Between Steel Manufacturing Process Knowledge

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Embodiment

[0042] The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment, and present embodiment is carried out on the premise of technical solution 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-attribute-att...

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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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06F16/2455
CPCG06F16/288
Inventor 王坚凌卫青戴毅茹鲍清
Owner TONGJI UNIV
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