The NIST Technical Language Processing (TLP) workshop agenda focuses on leveraging maintenance work order (MWO) data to improve asset management and decision-making. Key topics include:
1. Automatically calculating lubrication-related costs using MWO data
– Presenters from University of Western Australia demonstrated a solution using MWO2KG pipeline
– Challenges in identifying relevant data from historic work orders discussed
2. From data collection to decision making using MWO data
– NIST researchers provided a step-by-step tutorial on extracting knowledge from MWOs
– Applications and common pitfalls in using MWOs for decision support covered
3. RedShred platform for liberating knowledge from paper and paper analogs
– Jim Kukla demonstrated integration of computer vision and NLP with extract, enrich, and reshape principles
4. Topic modeling in R
– Maria Seale from ERDC covered background on topic modeling and use case in R programming language
5. Utilizing CMMS data despite data quality issues with Asset Answers
– GE Digital presented cloud diagnostic application for improving asset performance analytics
– Data Quality Module and correlation between data improvement and metric impact discussed
The workshop aims to provide an in-depth look into TLP methodologies, data analysis processes, and practical applications. Registration information and details about special TLP sessions can be found on the official NIST website.
Source: https://www.nist.gov/el/technical-language-processing-community-interest/events
Keywords: Quantum cryptography, Quantum communication, Quantum networks
