Semantic knowledge management system for design documentation with heterogeneous data using machine learning
Design documentation is presumed to contain massive amounts of valuable information and expert knowledge that is useful for learning from the past successes and failures. However, the current practice of documenting design in most industries does not result in big data that can support a true digita...
Main Authors: | Gammack, Jack, Akay, Haluk, Ceylan, Ceylan, Kim, Sang-Gook |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/153622 |
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