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DC Field | Value | Language |
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dc.contributor.author | Li, P | - |
dc.contributor.author | Cheng, K | - |
dc.contributor.author | Jiang, P | - |
dc.contributor.author | Katchasuwanmanee, K | - |
dc.date.accessioned | 2020-10-09T11:04:42Z | - |
dc.date.available | 2020-01-01 | - |
dc.date.available | 2020-10-09T11:04:42Z | - |
dc.date.issued | 2020-09-29 | - |
dc.identifier.citation | Li, P., Cheng, K., Jiang, P. and Katchasuwanmanee, K. (2022) 'Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies', Journal of Intelligent Manufacturing, 33, pp. 103 - 119. doi: 10.1007/s10845-020-01646-2. | en_US |
dc.identifier.issn | 0956-5515 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/21634 | - |
dc.description.sponsorship | Natural Science Foundation of China, Grant Nos. 51975464 and 71571142. | en_US |
dc.format.extent | 103 - 119 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation | Investigation on industrial dataspace -pulished-31-8-2020.pdf | - |
dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Intelligent Manufacturing, following peer review. The final authenticated version is available online at https://doi.org/10.1007/s10845-020-01646-2. | - |
dc.rights.uri | https://www.springernature.com/gp/open-research/policies/journal-policies | - |
dc.subject | industrial dataspace | en_US |
dc.subject | machining knowledge | en_US |
dc.subject | machining operations control | en_US |
dc.subject | knowledge representation | en_US |
dc.subject | knowledge graph | en_US |
dc.title | Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s10845-020-01646-2 | - |
dc.relation.isPartOf | Journal of Intelligent Manufacturing | - |
pubs.publication-status | Published | - |
pubs.volume | 33 | - |
dc.identifier.eissn | 1572-8145 | - |
dc.rights.holder | Springer Nature | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | This is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Intelligent Manufacturing, following peer review. The final authenticated version is available online at https://doi.org/10.1007/s10845-020-01646-2. | 4.99 MB | Adobe PDF | View/Open |
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