بهبود مدل سازی رویه ای با معناشناسی در میراث معماری دیجیتال

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.