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Automatic expert knowledge acquisition from text for closing the knowledge loop in PLM

N, Madhusudanan and Gurumoorthy, B and Chakrabarti, Amaresh (2018) Automatic expert knowledge acquisition from text for closing the knowledge loop in PLM. In: International Journal of Product Lifecycle Management, 10 (4). pp. 301-325. ISSN 1743-5110

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Official URL: https://doi.org/10.1504/IJPLM.2017.090327


Expert knowledge is important for any product's lifecycle, especially during the manufacturing part of the lifecycle. Most of such knowledge is obtained through experience and its reuse can help prevent potential issues in subsequent product development. Extracting the knowledge acquired for reuse in subsequent development closes the knowledge loop within a product's lifecycle. This work is aimed at acquiring expert knowledge from text documents, about problems faced in aircraft assembly. For doing so, a method is proposed, and is implemented using a pipeline of natural language processing tools. Though existing tools have been used, domain related studies and subsequent modifications have been shown to be necessary. An implementation of the proposed method is also developed and evaluated. Future directions for expanding the work have also been discussed.

Item Type: Journal Article
Publication: International Journal of Product Lifecycle Management
Publisher: Inderscience Publishers
Additional Information: The Copyright of this article belongs to the Inderscience Publishers
Keywords: Aircraft assembly; Aircraft manufacturing; Knowledge acquisition; Knowledge based systems; Natural language processing; Sentiment analysis; Smart manufacturing
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 24 Jun 2022 10:01
Last Modified: 24 Jun 2022 10:01
URI: https://eprints.iisc.ac.in/id/eprint/73542

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