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.
About this Dataset
Title | Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing |
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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. |
Modified | 2018-06-01 |
Publisher Name | National Institute of Standards and Technology |
Contact | mailto:[email protected] |
Keywords | information , communication , maintenance , tribal knowledge , event sequences , training , machine learning , data cleaning , prognostics , diagnostics , visualization , decision guidance , CMMS , scheduling , investigations , nestor , smart manufacturing , manufacturing operations , manufacturing performance |
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