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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (8): 1337-1345    DOI: 10.3785/j.issn.1008-973X.2011.08.002
    
Integrated architecture for TRIZ based on knowledge network and its key technologies
HUANG Shen-quan1, XU Fu-yuan2, DAI Feng1, ZHANG Yong-wei1, GU Xin-jian1, QI Guo-ning1
1. Institution of Modern Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China; 2. Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China
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Abstract  

Aiming at the existing relevant theory and application problems of theory of inventive problem solving (TRIZ), the integrated architecture for TRIZ based on knowledge network was put forward. The conceptual model of knowledge network for TRIZ was presented. On the above basis, the framework and collaborative construction mode of the integrated architecture for TRIZ based on knowledge network were put forward, and the integrated architecture’s characteristics and key technologies were analyzed. Especially, the technology of ontology collaborative construction based on meta-ontology and Web2.0 mode was studied, the formal definition of meta-ontology in the meta-ontology layer was presented, and ontology model in ontology layer was established, then the process model of ontology instance collaborative construction in ontology-instance layer was presented. Finally, the application process model of the integrated architecture was presented, a prototype system based on this integrated architecture was developed. And a practical case study was provided for testing this integrated architecture, the results show that this integrated architecture is feasible and effective in innovation knowledge acquisition, TRIZ knowledge network collaborative construction and so on.

Published: 08 September 2011
CLC:  TP 391  
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HUANG Shen-quan, XU Fu-yuan, DAI Feng, ZHANG Yong-wei,GU Xin-jian, QI Guo-ning. Integrated architecture for TRIZ based on knowledge network and its key technologies. J4, 2011, 45(8): 1337-1345.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.08.002     OR     https://www.zjujournals.com/eng/Y2011/V45/I8/1337


基于知识网络的TRIZ集成框架及其关键技术

针对发明问题解决理论(TRIZ)在理论和应用上存在的相关问题,提出基于知识网络的TRIZ集成框架.给出面向TRIZ的知识网络的概念模型,在此基础上提出基于知识网络的TRIZ集成框架的体系结构和协同建设模式,分析集成框架的特点和关键技术.着重研究基于元本体和Web2.0模式的本体共建技术,给出元本体层中的元本体的形式化定义,建立本体层的本体模型,阐述本体实例层共建的过程模型.最后,提出集成框架的应用过程模型,并基于该集成框架开发原型系统.通过实际案例验证该集成框架,结果表明,该集成框架在创新知识获取和TRIZ知识网络共建等方面具有可行性和有效性.

［1］ ALTSHULLER G. The innovation algorithm, TRIZ, systematic innovation and technical creativity ［M］. Worcester: Technical Innovation Center, 2007: 23-98.

［2］ 檀润华.发明问题解决理论［M］.北京:科学出版社,2004: 15-18.

［3］ 熊开封,张华,崔鹏.我国TRIZ理论研究综述［J］.包装工程,2009,30(11): 221-223.

XIONG Kaifeng, ZHANG Hua, CUI Peng. Summarization of theoretical research on TRIZ in China ［J］. Packaging Engineering, 2009,30(11): 221-223.

［4］ 檀润华.产品创新设计若干问题研究进展［J］.机械工程学报,2003,39(9): 11-16.

TAN Runhua. Progress of some problems in product design for innovation ［J］. Chinese Journal of Mechanical Engineering, 2003, 39(9): 11-16

［5］ 谢友柏.现代设计理论和方法的研究［J］.机械工程学报,2004,40(4): 1-9.

XIE Youbai. Study on the modern design theory and methodology ［J］. Chinese Journal of Mechanical Engineering, 2004, 40(4): 1-9.

［6］ 赵蓉英.知识网络研究（Ⅱ）——知识网络的概念、内涵和特征［J］.情报学报,2007,26（3）： 470-476.

ZHAO Rongying. Study on knowledge network(PartⅡ)——the notion and characters of knowledge network ［J］. Journal of the China Society for Scientific and Technical Information, 2007, 26（3）： 470-476.

［7］ AKGUN A E,BYRNE J, KESKIN H, et el. Knowledge networks in new product development projects: A transitive memory perspective ［J］. Information & Management, 2005, 42(8): 1105-1120.

［8］ MOHAN K, JAIN R, RAMESH B. Knowledge networking to support medical new product development ［J］. Decision Support Systems, 2007, 43(4) : 1255-1273.

［9］ AGUIRRE J L, BRENA R, CANTU F J. Multiagentbased knowledge networks ［J］. Expert Systems with Applications, 2001, 20(1): 65-75.

［10］ BECKMANN M J. Economic models of knowledge networks, in networks in action ［M］. Berlin, Germany: SpringerVerlag, 1995: 159-174.

［11］ 张勇为,顾新建,胡恒杰,等.工艺设计知识资源网络的元数据模型［J］.浙江大学学报:工学版,2009,43(10): 1828-1832.

ZHANG Yongwei, GU Xinjian, HU Hengjie, et al. Metadata model of process planning knowledge resource network ［J］. Journal of Zhejiang University: Engineering Science, 2009, 43 (10): 1828-1832.

［12］ 刘江,陈芨熙,顾新建,等.技术路线图导向的知识网络模型［J］.浙江大学学报:工学版,2009,43(12): 2218-2224.

LIU Jiang, CHEN Jixi, GU Xinjian, et al. Knowledge network guided by technology roadmap ［J］. Journal of Zhejiang University: Engineering Science, 2009, 43 (12): 2218-2224.

［13］ LYKOURENTZOU I, PAPADAKI K, VERGADOS D J, et al. CorpWiki: A selfregulating wiki to promote corporate collective intelligence through expert peer matching ［J］. Information Sciences, 2010,180(1/2): 18-38.

［14］ 代风,袁特,顾新建,等.基于Wiki的企业标准制修订系统［J］.浙江大学学报:工学版,2009,43(12): 2254-2258.

DAI Feng, YUAN Te, GU Xinjian, et al. Wikibased system for formulating and revising enterprise standard ［J］. Journal of Zhejiang University: Engineering Science, 2009, 43 (12): 2254-2258.

［15］ MORRISON P J. Tagging and searching: search retrieval effectiveness of folksonomies on the world wide Web ［J］. Information Processing & Management, 2008,44(4): 1562-1579.

［16］ Invention Machine Corporation. Invention machine goldfire［EB/OL］.［20100508］.http:∥www.inventionmachine.com/productsservices.aspx

［17］ Ideation International Inc. Innovation WorkBench3.2 ［EB/OL］.［20091110］.http:∥www.ideationtriz.com/new/iwb.asp

［18］ 曹国忠,檀润华,孙建广.基于扩展效应模型的功能设计过程及实现［J］.机械工程学报,2009,45(7): 157-167.

CAO Guozhong, TAN Runhua, SUN Jianguang. Process and realization of functional design based on extendedeffect model ［J］. Chinese Journal of Mechanical Engineering, 2009, 45(7): 157-167.
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