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Cloud Manufacturing Resource Discovery Method Based on EAV Model and Solr

  • Chao Geng
  • , Shiyou Qu
  • , Yingying Xiao
  • , Guoqiang Shi
  • , Tingyu Lin
  • , Liqin Guo
  • , Xiaowei Wang

Research output: Contribution to journalArticlepeer-review

Abstract

A resource discovery solution of cloud manufacturing based on text information processing technology was proposed. This solution converted the description model of cloud manufacturing resource to a formal model of text information processing via a mapping function, and an EAV (Entity-Attribute-Value) derived model of cloud manufacturing resources was designed to solve the resource properties issues of heterogeneity, diversity, dynamic and so on. By introducing the Solr index schema, the text indexing system of resource properties data was built to improve query performance of related data. A prototype system was designed for discovering cloud manufacturing resources based on EAV model and Solr search engine, which applied to the cloud manufacturing platform, improving the discovery and matching capabilities of manufacturing resource.

Original languageEnglish
Pages (from-to)2496-2506
Number of pages11
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume29
Issue number10
DOIs
StatePublished - 8 Oct 2017
Externally publishedYes

Keywords

  • Cloud manufacturing
  • EAV (Entity-Attribute-Value)
  • Resource discovery
  • Solr

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