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Author:

Wei, Gongjin (Wei, Gongjin.) | Bai, Weijing (Bai, Weijing.) | Yin, Meifang (Yin, Meifang.) | Zhang, Songmao (Zhang, Songmao.)

Indexed by:

CPCI-S

Abstract:

We present a practice of applying the Semantic Web technologies in the domain of Chinese traditional architecture. A knowledge base consisting of one ontology and four rule bases is built to support the automatic generation of animations that demonstrate the construction of various Chinese timber structures based on the user's input. Different Semantic Web formalisms are used, e.g., OWL DL, SWRL and Jess, to capture the domain knowledge, including the wooden components needed for a given building, construction sequence, and the 3D size and position of every piece of wood. Our experience in exploiting the current Semantic Web technologies in real-world application systems indicates their prominent advantages (such as the reasoning facilities and modeling tools) as well as the limitations (such as low efficiency).

Keyword:

the Semantic Web ontology rules AI-based animation Chinese traditional architecture Knowledge representation and reasoning

Author Community:

  • [ 1 ] [Wei, Gongjin]Beijing Univ Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China
  • [ 2 ] [Bai, Weijing]Beijing Univ Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China
  • [ 3 ] [Yin, Meifang]Beijing Univ Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China
  • [ 4 ] [Zhang, Songmao]Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China

Reprint Author's Address:

  • [Wei, Gongjin]Beijing Univ Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China

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Source :

KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT

ISSN: 0302-9743

Year: 2010

Volume: 6291

Page: 210-221

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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