Data provided by National Institute of Standards and Technology
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
Updated: 2025-09-09
Metadata Last Updated:
2018-06-01 00:00:00
Date Created:
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Data Provided by:
Dataset Owner:
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| Title | Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing |
|---|---|
| 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 00:00:00 |
| 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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"title": "Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing",
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