Increasing design search relevancy using statistical methods in conjunction with ontologies

Fabrice Alizon, Jyotirmaya Nanda, Steven B. Shooter, Timothy William Simpson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In engineered products, one of the most critical business processes is managing and reusing product design information within a product and across a product family (PF). Reuse of existing component designs plays an important role in reducing product design lead-time while lowering cost and increasing quality. Towards this end we propose a ontology-based design search and reuse method that combines statistical methods with ontologies to increase the component design search relevancy when having existing product design repositories. This proposed ontology-based design search and reuse method is performed in three stages: (1) computation of statistical similarity between the desired design and existing designs, (2) efficiency assessment of the remaining component designs based on a predefined component ontology, and finally (3) configuration of the selected design(s) for reuse. This method searches and ranks existing component designs in a design repository using statistical similarity and/or uses ontologies to expand the design search. This method is illustrated with a case study involving single-use cameras.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Pages268-273
Number of pages6
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 - Waikoloa Village, HI, United States
Duration: Sep 16 2006Sep 18 2006

Publication series

NameProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

Other

Other2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
CountryUnited States
CityWaikoloa Village, HI
Period9/16/069/18/06

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing
  • Software

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