Knowledge Capture and Reuse Through Expert’s Activity Monitoring in Engineering Design - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Knowledge Capture and Reuse Through Expert’s Activity Monitoring in Engineering Design

(1, 2) , (1, 2) , (3) , (2, 1) , (2, 1)
1
2
3

Abstract

This paper deals with artificial intelligence driven product engineering support. Many software systems are available to support the product lifecycle, especially during product design, such as CAD, PDM, CAE, SDM, etc. Most product development process is performed using these systems, which through their rich user interfaces allow skilled professionals to express their expertise and knowledge using the tools and functions the software is willing to provide them. At the end of the day, the result of their work is a model, built through a user interface, and stored in a repository. The goal of our research is to reverse engineer the user's knowledge by analysing his/her actions with the software system, based on the assumption that the process will itself be meta-knowledge driven and that we will focus on engineering software which provide semantically rich user interfaces. The aim of this paper is to investigate the idea of building reusa-ble expert knowledge from actions on engineering software user interfaces. It first outlines existing works from different fields and identifies remaining issues. It then suggest an approach to address these issues and put together an operational system.
Fichier principal
Vignette du fichier
474419_1_En_57_Chapter.pdf (383.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02045412 , version 1 (22-03-2019)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Harvey Rowson, Matthieu Bricogne, Lionel Roucoules, Alexandre Durupt, Benoit Eynard. Knowledge Capture and Reuse Through Expert’s Activity Monitoring in Engineering Design. 15th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2018, Turin, Italy. pp.621-630, ⟨10.1007/978-3-030-01614-2_57⟩. ⟨hal-02045412⟩
81 View
257 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More