Constructing the virtual Jing-Hang Grand Canal with onto-draw

  • Authors:

  • Yong Liu;Minming Zhang;Feng Tang;Yunliang Jiang;Zhigeng Pan;Gendai Liu;Huaqing Shen

  • Affiliations:

  • Institute of Cyber Systems and Control, Zhejiang University, 310027 Hangzhou, China and State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027 Hangzhou, China;CAD and CG State Key Lab of China, Zhejiang University, 310027 Hangzhou, China;Hewlett-Packard Labs, 94304 Palo Alto, CA, USA;School of Information and Engineering of Huzhou Teachers College, 313000 Huzhou, China;CAD and CG State Key Lab of China, Zhejiang University, 310027 Hangzhou, China;CAD and CG State Key Lab of China, Zhejiang University, 310027 Hangzhou, China;Department of Art, Zhejiang University, Zhejiang University, 310027 Hangzhou, China

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

Constructing virtual 3D historical scenes from literature and records is a very challenging problem due to the difficulty in incorporating different types of domain knowledge into the modeling system. The domain knowledge comes from different experts, including: architects, historians, rendering artists, user interface designers and computer engineers. In this paper we investigate the problem of automatically generating drawings of ancient scenes by ontologies extracted from these domains. We introduce a framework called onto-draw to generate semantic models of desired scenes by constructing hierarchical ontology concept domains. Inconsistencies among them are resolved via an iterative refinement algorithm. We implement the onto-draw based ontology design approach and inconsistency removal technique in the virtual Jing-Hang Grand Canal construction project (Chen et al., 2010) and achieve encouraging results.