Knowledge definition in product model for control of feature definitions

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

Abstract

This paper deals with recent results of a long term research program in human intent driven and knowledge based product modeling. The aim of the research was grounding connection between situation and event based generation of product features in current industrial product models and the content based model extension in an earlier result by the authors. In this paper, research is focused on knowledge feature definition for adaptive feature control. The authors considered their Virtual Engineering Space concept as the utmost objective in automation of engineering activities. Following this, knowledge definition methods are analyzed, contextual connections of active knowledge definitions in the context based product model extension are placed in the communication, and control of product features by adaptive actions is discussed.

Original languageEnglish
Title of host publicationIEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 - Proceedings
Pages25-30
Number of pages6
DOIs
Publication statusPublished - Jun 29 2012
Event10th IEEE Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 - Herl'any, Slovakia
Duration: Jan 26 2012Jan 28 2012

Publication series

NameIEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 - Proceedings

Other

Other10th IEEE Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012
CountrySlovakia
CityHerl'any
Period1/26/121/28/12

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Horváth, L., & Rudas, I. J. (2012). Knowledge definition in product model for control of feature definitions. In IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 - Proceedings (pp. 25-30). [6208972] (IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 - Proceedings). https://doi.org/10.1109/SAMI.2012.6208972