[1]白卫静,张松懋,刘椿年.中国古建的语义网络知识库及其高效实现[J].智能系统学报,2010,5(06):510-521.
 BAI Wei-jing,ZHANG Song-mao,LIU Chun-nian.A knowledge base of traditional Chinese architecture and its efficient implementation demonstrated through[J].CAAI Transactions on Intelligent Systems,2010,5(06):510-521.
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中国古建的语义网络知识库及其高效实现(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第5卷
期数:
2010年06期
页码:
510-521
栏目:
出版日期:
2010-12-25

文章信息/Info

Title:
A knowledge base of traditional Chinese architecture and its efficient implementation demonstrated through
文章编号:
1673-4785(2010)06-0510-12
作者:
白卫静1张松懋2刘椿年1
1.北京工业大学 计算机学院,北京 100124;
2.中国科学院 数学与系统科学研究院,北京 100190
Author(s):
BAI Wei-jing1 ZHANG Song-mao2 LIU Chun-nian1
1.College of Computer Science, Beijing University of Technology, Beijing 100124, China;
 2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
关键词:
计算机辅助动画自动生成语义网络本体规则ProtégéJess
Keywords:
computeraided automatic animation Semantic Web technology ontology rules Protégé Jess
分类号:
TP182
文献标志码:
A
摘要:
将全过程计算机辅助动画自动生成技术应用于中国古建领域,实现了一个自动古建动画系统.它根据用户对古建的描述,自动生成三维动画来表现古建的搭建过程,整个自动过程都是在古建知识库的支持下完成的,采用语义网络技术设计并实现了知识库,包括本体库和规则库2部分.主要论述古建知识库的结构、本体和规则库的组成,并以生成古建搭建顺序为例来说明规则推理的过程,共实现了2个方案,一个基于本体构造环境Protégé ,另一个基于规则推理系统Jess,后者比前者在推理时间上节省了99%以上,重点论述了高效方案的设计思想和实现技术,并分析了其优点和不足.
Abstract:
In applying the full lifecycle automatic animation technology, an automatic animation system was designed and implemented for traditional Chinese architecture. Based on the user’s description of a traditional building, the system generated an animation demonstrating the construction of the building. The whole automation was supported by a domain knowledge base. Semantic web technology was used to implement the knowledge base, including ontological knowledge and rules. The structure and components of the ontology and rule base were presented. Moreover, the inference process through using rules to reason about the construction sequence of wooden components was illustrated. Two implementations were given: Protégébased and Jessbased. The latter saved up to 99% more of the reasoning time than the former. The details of the Jessbased knowledge base were presented, and its merits and drawbacks were analyzed.

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备注/Memo

备注/Memo:
收稿日期:2010-03-05.
基金项目:国家科技支撑计划资助项目(2006BAK31B04).
通信作者:白卫静.E-mail: estherbaiweijing@gmail.com.
作者简介:
白卫静,女,1984年生,硕士研究生,主要研究方向为人工智能中的知识库技术.
张松懋,女,1967年生,研究员,博士生导师,博士.曾在美国、澳大利亚、德国和法国的研究机构作访问学者.主要研究方向为计算机科学中的人工智能理论和技术,曾担任国家自然科学基金项目和国家“863”计划项目的负责人.发表学术论文40余篇.
刘椿年,男,1944年生,曾主持过多项国家自然科学基金面上项目和早期“863”计划项目.曾获北京市科技进步奖2项,在科学出版社有著译多种出版,在国内外学术刊物和重要国际学术会议上发表论文100余篇.
更新日期/Last Update: 2011-03-03