Supporting multiple engineering viewpoints in computer-aided design using ontology-based annotations

Chun Lei Li, Chris McMahon*, Linda Newnes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

This paper describes an approach to supporting, in computer-aided design (CAD), the multiple evaluations that occur when engineers bring their expertise to bear, especially in the later phases of the design process. The aim of the support is to reduce the work in integrating external tools with CAD systems, and to increase the coordination between the different tools. The paper presents a general-purpose ontology-driven annotation approach to record viewpoint-dependent information such as manufacturing process and costing data. The annotation data are contained within a consistent ontology framework which supports the integration of multiple specialist viewpoints by associating annotation content with anchors in a boundary representation model. The ontology also allows checking of data structures and other reasoning. The paper gives an overview of the relevant background in CAD technologies, annotation and ontology, and then describes the embedding of an annotation tool based on the Web Ontology Language OWL in a commercial CAD system. The usefulness of the tool is evaluated through a case study of the incorporation of cost estimation tools.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Engineering Design, ICED
Pages249-258
Number of pages10
Volume6 DS75-06
Publication statusPublished - 1 Dec 2013
Event19th International Conference on Engineering Design, ICED 2013 - Seoul, Korea, Republic of
Duration: 19 Aug 201322 Aug 2013

Conference

Conference19th International Conference on Engineering Design, ICED 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period19/08/1322/08/13

Keywords

  • Annotation
  • Computer-aided design
  • Design informatics
  • Design ontologies
  • Information management

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