Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Metadata Last Checked: June 27, 2025 | Last Modified: 2018-06-01 00:00:00

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.

Find Related Datasets

Click any tag below to search for similar datasets

Complete Metadata

bureauCode	[ "006:55" ]
identifier	6D99882718D36079E05324570681AAD11932
landingPage	https://github.com/usnistgov/nestor
language	[ "en" ]
programCode	[ "006:045" ]
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" ]