Return to search results
Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.
Resources
1 resource available
-
DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
HTML
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Rachael Sexton", "hasEmail": "mailto:rachael.sexton@nist.gov" } |
| description | There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost. |
| distribution |
[ { "title": "DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing", "format": "text/html", "accessURL": "https://doi.org/10.18434/T4/1502464", "description": "DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing" } ] |
| identifier | 6D99882718D36079E05324570681AAD11932 |
| keyword |
[ "CMMS", "communication", "data cleaning", "decision guidance", "diagnostics", "event sequences", "information", "investigations", "machine learning", "maintenance", "manufacturing operations", "manufacturing performance", "nestor", "prognostics", "scheduling", "smart manufacturing", "training", "tribal knowledge", "visualization" ] |
| landingPage | https://github.com/usnistgov/nestor |
| language |
[ "en" ] |
| license | https://www.nist.gov/open/license |
| modified | 2018-06-01 00:00:00 |
| programCode |
[ "006:045" ] |
| publisher |
{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" } |
| references |
[ "https://dx.doi.org/10.1109/BigData.2017.8258120" ] |
| theme |
[ "Information Technology:Data and informatics", "Information Technology:Usability and human factors", "Manufacturing:Manufacturing systems design and analysis", "Manufacturing:Work force", "Mathematics and Statistics:Statistical analysis" ] |
| title | Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing |
