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).
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© 2005 Springer-Verlag Berlin Heidelberg
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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: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_27
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DOI: https://doi.org/10.1007/11553939_27
Publisher Name: Springer, Berlin, Heidelberg
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