Improving procedural modeling with semantics in digital architectural heritage

We first introduce three challenges in the procedural modeling of digital architectural heritages and then present a general framework, which integrates several machine intelligence and semantic techniques, e.g., the ontology design approach, pattern mining, auto-annotating and rule reduction, to improve the procedural methods in architectural modeling. Several evaluations and experiments are also presented. The experimental results illustrate the improvements following our approach. & 2012 Elsevier Ltd. All rights reserved.

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