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Ontology supported semantic simplification of large data sets of industrial plant CAD models for design review visualization

: Posada, J.; Toro, C.; Wundrak, S.; Stork, A.

Khosla, R.:
Knowledge-Based Intelligent Information and Engineering Systems. Vol.3 : 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings
Berlin: Springer, 2005 (Lecture Notes in Computer Science 3683)
ISBN: 3-540-28896-1
ISSN: 0302-9743
International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES) <9, 2005, Melbourne>
Fraunhofer IGD ()
design review; large model visualization (LMV); VR-CAD; semantic modelling

We present in this article a semantic compression system for design review visualization of large data sets in the domain of industrial plant design. This system introduces semantic aspects that improve traditional Computer Graphics techniques used for interactive walkthroughs. We complement previous works introducing new modules and algorithms for the automatic categorization, simplification and user-oriented adaptation of engineering components in the model, and base directly our work on a full Ontology based on international standards for product data in this domain (ISO-STEP 10303-AP227).