Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach-Reference-Cited by-同舟云学术

Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach

Published:2020-03-12 Issue:3 Volume:20 Page:
ISSN:1530-9827
Container-title:Journal of Computing and Information Science in Engineering
language:en
Short-container-title:

Author:

Ye Xinfeng¹,Lu Yuqian²

Affiliation:

1. Department of Computer Science, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

2. Department of Mechanical Engineering, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

Abstract

Abstract Manufacturers use cloud manufacturing platforms to offer their services. The literature has suggested a semantic web-based cloud manufacturing framework, in which engineering knowledge is modeled using structured syntax. Translating engineering rules to semantic rules by human is a painstaking task and prone to mistakes. We present a scheme that treats converting engineering knowledge into semantic rules as a machine translation task and uses neural machine translation techniques to carry out the conversion.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Link

http://asmedigitalcollection.asme.org/computingengineering/article-pdf/doi/10.1115/1.4046333/6649796/jcise_20_3_034501.pdf

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4. Resource Virtualization: A Core Technology for Developing Cyber-Physical Production Systems;Lu;J. Manuf. Syst.,2018

5. A Semantic Web-Based Framework for Service Composition in a Cloud Manufacturing Environment;Lu;J. Manuf. Syst.,2017

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