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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.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2018-06-01
Date Created: N/A
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Data Provided by:
information
Dataset Owner: N/A

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Table representation of structured data
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
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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        "fn": "Thurston Sexton"
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    "title": "Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing",
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            "title": "DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing"
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    ],
    "license": "https:\/\/www.nist.gov\/open\/license",
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        "name": "National Institute of Standards and Technology"
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    "accrualPeriodicity": "irregular",
    "theme": [
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        "Manufacturing:Work force",
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    ]
}

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