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Knowledge Graph of Design Rules for a Context-Aware Cognitive Design Assistant

Article dans une revue avec comité de lecture
Author
HUET, Armand
PINQUIE, Romain
1043141 Conception collaborative [G-SCOP_CC]
FAU, Victor
244560 Capgemini [Toulouse]
ccSEGONDS, Frederic
127758 Laboratoire Conception de Produits et Innovation [LCPI]
ccVERON, Philippe
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/19581
DOI
10.1007/978-3-030-62807-9_27
Date
2020
Journal
IFIP Advances in Information and Communication Technology

Abstract

[Context] The design of a system shall comply with many design rules that help industrial designers to create high quality design in an efficient way. Nowadays, design rules try to consider all product lifecycle’s phases leading to an ever-increasing growth. This context makes the management of design rules a difficult but essential task. This is why many research and industrial works try to automate this task [1, 3, 4]. [Problem] The processing of design rules, which are natural language sentences stored in unstructured documents, requires expert software. Moreover, existing tools interrupt the design workflow and slow down the design process. [Proposition] We propose a Context-Aware Cognitive Design Assistant (CACDA) to support designers who have to satisfy some design rules among “Big Data”. First, we describe the CACDA from the user’s perspective. Second, we detail the process for modelling unstructured design rules into a com-putable knowledge graph that will feed the cognitive design assistant. [Future Work] Once our knowledge graph of design rules will be operational, we will concentrate on its processing to retrieve, recommend, and verify design rules. Experiments will also help to determine pros and cons of the design assistant.

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  • Laboratoire Conception de Produits et Innovation (LCPI)
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

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