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

Knowledge Fusion Method Based on Dynamic Ontology in Cloud Manufacturing Mode

A fusion method and cloud manufacturing technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as scalability, pertinence, integration limitations, and prominent heterogeneous characteristics of knowledge resource distribution.

Active Publication Date: 2017-09-19
BEIHANG UNIV
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the heterogeneous distribution of knowledge resources is prominent: on the one hand, the distribution of knowledge resources is scattered in different enterprises and departments, which is implicit in the models, documents, normative standards of previous products, and the minds and experiences of experts in related fields; On the one hand, traditional knowledge bases solidify knowledge resources and then search for matching knowledge according to needs. Although their relatively fixed expression and storage methods can meet knowledge needs to a certain extent, many knowledge bases are independently designed for specific applications. Sex and pertinence and integration are limited

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
  • Knowledge Fusion Method Based on Dynamic Ontology in Cloud Manufacturing Mode
  • Knowledge Fusion Method Based on Dynamic Ontology in Cloud Manufacturing Mode
  • Knowledge Fusion Method Based on Dynamic Ontology in Cloud Manufacturing Mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] 1. Dynamic Ontology Construction

[0014] Although multi-domain ontology builds a wide range of knowledge networks, knowledge requirements are often concentrated in specific knowledge network nodes or segments in multi-domain ontologies. Dynamic ontology is an ontology formed by discovering ontology fragments related to requirements from multi-domain ontology and recombining these fragments for knowledge requirements.

[0015] Its specific implementation steps are as follows figure 2 As shown, the specific description is as follows:

[0016] Step 1: Knowledge needs analysis

[0017] Use the term dictionary generated by the ontology to extract the domain terms in the knowledge requirements; secondly, use the dictionary of common terms to extract the general words in the design problem, and then eliminate the repeated lemmas and included lemmas to obtain keywords that are more in line with the needs of designers Yuan. Since terms in domain ontology are commonly 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
Login to View More

PUM

No PUM Login to View More

Abstract

A knowledge fusion method based on dynamic ontology in the cloud manufacturing mode belongs to the research content of modern manufacturing technology in the field of advanced manufacturing technology. This method provides a solution for the integrated application of distributed heterogeneous resources in the cloud manufacturing mode. This method forms fusion knowledge resources based on dynamic ontology constructed by multi-domain ontology. First, carry out semantic analysis and analysis on the knowledge requirements to obtain domain term keywords; then find relevant ontology fragments from the multi-domain ontology according to the keywords, and reorganize these ontology fragments to form a dynamic ontology; on this basis, use dynamic ontology terminology Analyze the knowledge resources hidden in the document, obtain the knowledge fragments represented by paragraphs, calculate the themes of the knowledge fragments, and associate them with the dynamic ontology to form a fusion knowledge resource. To a certain extent, the present invention realizes unified access and management of multi-source heterogeneous knowledge resources distributed in group enterprises, realizes dynamic fusion of knowledge resources, and effectively adapts to continuous update and change of enterprise knowledge resources and knowledge requirements.

Description

technical field [0001] The invention relates to a dynamic ontology-based knowledge fusion method in a cloud manufacturing mode, which belongs to the research content of knowledge resource management and application methods in the field of computer application technology. Background technique [0002] Cloud manufacturing is to learn from the idea of ​​cloud computing and the concept of "manufacturing as a service", replace "manufacturing resources" with "computing resources", virtualize various manufacturing resources and service-oriented manufacturing capabilities, and provide active (active) services for manufacturing enterprises. ), agile, aggregative, and all-aspects manufacturing resources and manufacturing capability services to realize wide-area interconnection and on-demand sharing of manufacturing resources. Cloud manufacturing adopts the cutting-edge concepts of contemporary information technology, including cloud computing, and supports the manufacturing industry t...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 刘继红许文婷占红飞王宽李波
Owner BEIHANG UNIV
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