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 language | English |
|---|---|
| Pages (from-to) | 2496-2506 |
| Number of pages | 11 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 29 |
| Issue number | 10 |
| DOIs | |
| State | Published - 8 Oct 2017 |
| Externally published | Yes |
Keywords
- Cloud manufacturing
- EAV (Entity-Attribute-Value)
- Resource discovery
- Solr
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