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A product design ontology for enhancing shape processing in design workflows

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Author(s)
Catalano, Chiara E. 
Camossi, Elena 
Ferrandes, Rosalinda 
Cheutet, Vincent 
Sevilmis, Neyir 
Uri
http://hdl.handle.net/10197/1444
Date Issued
October 2009
Date Available
28T15:46:28Z September 2009
Abstract
Effective and efficient information management and knowledge sharing has become an essential part of more and more professional tasks in the Product Development Process. Among the varius Knowledge Management technologies, ontologies offer new possibilities for representing, handling and retrieving product related knowledge, and for online collaboration. We conceived a Product Design Ontology (PDO) which especially addresses researchers in industrial product design and engineering analysis who need to share shape data and to develop software tools. In particular, we formalised the task-specific information associated to a shape, and the functionality and usage of shape processing methods in specific tasks of the design workflow. The PDO, thanks to the ontologydriven metadata on shapes and tools, may be also useful in industry on the one hand for training and for retrieving shape-related information, on the other hand for supporting benchmarking of processing tools and gathering the knowledge about shape processing workflows.
Sponsorship
Science Foundation Ireland; Irish Research Council for Science, Engineering & Technology
Type of Material
Journal Article
Publisher
Springer
Journal
Journal of Intelligent Manufacturing
Volume
20
Issue
5
Start Page
553
End Page
567
Copyright (Published Version)
Springer Science+Business Media, LLC 2008
Keywords
  • Ontology-driven retri...

  • Product design workflo...

  • Digital shapes

  • Shape processing tool...

Subject – LCSH
Ontologies (Information retrieval)
Industrial design--Data processing
Workflow--Data processing
DOI
10.1007/s10845-008-0151-z
Web versions
http://dx.doi.org/10.1007/s10845-008-0151-z
Language
English
Status of Item
Peer reviewed
ISSN
0956-5515 (Print)
1572-8145 (Online)
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
42
Acquisition Date
Mar 24, 2023
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1667
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Mar 24, 2023
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