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.

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Info shtesë

Fusha	Vlera
Mirëmbajtësi	Thurston Sexton
Ndryshuar së fundmi	Mars 5, 2021, 04:48 (EST)
U krijua	Mars 5, 2021, 04:48 (EST)
Gjuha	{en}
Identifier	6D99882718D36079E05324570681AAD11932
Modified	2018-06-01
Theme	{"Information Technology:Usability and human factors","Manufacturing:Work force","Manufacturing:Manufacturing systems design and analysis","Mathematics and Statistics:Statistical analysis","Information Technology:Data and informatics"}
accessLevel	public
accrualPeriodicity	irregular
bureauCode	{006:55}
catalog_@context	https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo	https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy	https://project-open-data.cio.gov/v1.1/schema/catalog.json
encoding	utf8
harvest_url	http://catalog.data.gov/dataset/072d0e1c-3aea-4663-adca-c8700a16c514
landingPage	https://github.com/usnistgov/nestor
license	https://www.nist.gov/open/license
programCode	{006:045}
publisher	National Institute of Standards and Technology
references	{https://dx.doi.org/10.1109/BigData.2017.8258120}
resource-type	Dataset
source_datajson_identifier	true
source_hash	5574ce70d4e21a61106c94f26a29b8ca7647a640
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