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Natural language pr...
Natural language processing methods for knowledge management - Applying document clustering for fast search and grouping of engineering documents
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- Arnarsson, Ívar Örn, 1988 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Frost, Otto, 1990 (författare)
- Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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- Gustavsson, Emil, 1987 (författare)
- Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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- Jirstrand, Mats, 1968 (författare)
- Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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- Malmqvist, Johan, 1964 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2021
- 2021
- Engelska.
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Ingår i: Concurrent Engineering Research and Applications. - 1063-293X .- 1531-2003. ; 29:2, s. 142-152
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Product development companies collect data in form of Engineering Change Requests for logged design issues, tests, and product iterations. These documents are rich in unstructured data (e.g. free text). Previous research affirms that product developers find that current IT systems lack capabilities to accurately retrieve relevant documents with unstructured data. In this research, we demonstrate a method using Natural Language Processing and document clustering algorithms to find structurally or contextually related documents from databases containing Engineering Change Request documents. The aim is to radically decrease the time needed to effectively search for related engineering documents, organize search results, and create labeled clusters from these documents by utilizing Natural Language Processing algorithms. A domain knowledge expert at the case company evaluated the results and confirmed that the algorithms we applied managed to find relevant document clusters given the queries tested.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
Nyckelord
- engineering change request
- document clustering
- semantic data processing
- natural language processing
- knowledge management
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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