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

Authors: Madhusudanan N.; B. Gurumoorthy; Amaresh Chakrabarti

Addresses: Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru, India ' Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru, India ' Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru, India

Abstract: 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.

Keywords: knowledge acquisition; aircraft assembly; natural language processing; sentiment analysis; aircraft manufacturing; knowledge based systems; smart manufacturing.

DOI: 10.1504/IJPLM.2017.090327

International Journal of Product Lifecycle Management, 2017 Vol.10 No.4, pp.301 - 325

Received: 08 Feb 2017
Accepted: 06 Nov 2017
Published online: 12 Mar 2018 *

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