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A Graph Search Approach to Automate Product Concept Translation

[+] Author Affiliations
Il Yeo

Microsoft Corporation, Redmond, WA

Lalit Patil, Debasish Dutta

University of Illinois at Urbana-Champaign, Urbana, IL

Paper No. ESDA2012-82703, pp. 435-442; 8 pages
doi:10.1115/ESDA2012-82703
From:
  • ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 3: Advanced Composite Materials and Processing; Robotics; Information Management and PLM; Design Engineering
  • Nantes, France, July 2–4, 2012
  • Conference Sponsors: International
  • ISBN: 978-0-7918-4486-1
  • Copyright © 2012 by ASME

abstract

Product data translation is essential for the seamless integration of various product-centric activities. Yet, the process to build translators among different software has been left mostly to individual expertise rather than a formal procedure. In this paper, we propose a framework to automatically determine translation rules to enable translation of instances from one system to another. We use a graph search method to obtain the overall translation rule as a combination of multiple basic functions. We apply this method to a subset of non-geometric product knowledge, such as date of creation, color and name of feature used in two commercial systems. We detect the rules using a manually created training data set and evaluate their correctness manually.

Copyright © 2012 by ASME

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