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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (2): 11-19    DOI: 10.11925/infotech.2096-3467.2017.0905
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Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design
Ding Shengchun1,2, Liu Menglu1, Fu Zhu1,3()
1(School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China)
2(Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094, China)
3(School of Enterprise Management, Hohai University, Changzhou 213022, China)
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Abstract  

[Objective] This paper studies the unified modeling technology for multidimensional design knowledge in conceptual design, aiming to effectively manage and reuse knowledge. [Methods] First, we analyzed the needs of unified modeling for multidimensional design from the perspectives of knowledge management and reuse. Then, we classified the conceptual design knowledge based on design process and knowledge attributes. Third, we constructed the unified model system for multidimensional design knowledge with static design object and dynamic design flow at the core. Finally, we established the unified model with the help of Ontology model. [Results] We divided the conceptual design knowledge into six categories: design objects, design flow, design organization, design resources, design criteria and design cases. We proposed a unified modeling system based on design object and flow, and also created the knowledge Ontology to model the knowledge of design organization, design resources, design criteria and design cases. [Limitations] More research is needed to examine the proposed technology. [Conclusions] The unified modeling technology enables us to effectively model the dynamic conceptual design knowledge.
Key words： Conceptual Design      Knowledge Flow      Knowledge Modeling      Ontology     
Received: 07 September 2017      Published: 07 March 2018
ZTFLH:  TP182 G35  
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Cite this article:

Ding Shengchun,Liu Menglu,Fu Zhu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design. Data Analysis and Knowledge Discovery, 2018, 2(2): 11-19.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0905     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I2/11

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