Abstract
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). © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Posada, J., Toro, C., Wundrak, S., & Stork, A. (2005). Ontology supported semantic simplification of large data sets of industrial plant CAD models for design review visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 184–190). Springer Verlag. https://doi.org/10.1007/11553939_27
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