AI Research in China: 50 Years down the Road
IEEE Intelligent Systems
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
The Smart Architect: Scalable Ontology-Based Modeling of Ancient Chinese Architectures
IEEE Intelligent Systems
Modular Ontologies for Architectural Design
Proceedings of the 2009 conference on Formal Ontologies Meet Industry
Introducing Revit Architecture 2010: BIM for Beginners
Introducing Revit Architecture 2010: BIM for Beginners
Automatic generation of computeranimation: using AI for movie animation
Automatic generation of computeranimation: using AI for movie animation
Handbook of Research on Building Information Modeling and Construction Informatics: Concepts and Technologies
Computer-generated residential building layouts
ACM SIGGRAPH Asia 2010 papers
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
On the architecture of a human-centered CAD agent system
Computer-Aided Design
Architectural heritage online: ontology-driven website generation for world heritage sites in danger
EuroMed'10 Proceedings of the Third international conference on Digital heritage
Generalized descriptions for the procedural modeling of ancient East Asian buildings
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Editorial: Advances in architectural, engineering and construction informatics
Advanced Engineering Informatics
Hi-index | 0.00 |
Ancient Chinese architecture represents a unique contribution to the world's architectural heritage. However, there has been a serious lack of computer supported tools for representing, modeling and designing different forms of ancient Chinese buildings. We present ICA^3D, an intelligent computer-aided system for designing ancient Chinese-style architecture. With ICA^3D, the user has multiple choices of interaction from interactive menus to Chinese natural language description. The Semantic Web technologies are used to represent the domain knowledge including complex rules for composing complete timber structures from individual pieces of wood and rules for inferring construction sequences. Compared with other CAD technologies, the approaches presented in this paper feature a combination of user interaction and automation, a text-to-scene pipeline, and a scalable knowledge infrastructure supported by automated reasoning.