A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge |
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| Affiliation: | 1. Engineering Research Institute, University of Science and Technology Beijing, Beijing 100083, China;2. ZJU-UIUC Institute, Zhejiang University, Haining 314400, China;3. National CIMS Engineering Research Centre, Tsinghua University, Beijing 100084, China;4. School of Information Science and Engineering, Central South University, Changsha 410083, China;1. College of Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing 100083, China;2. Key Laboratory of Optimal Design of Modern Agricultural Equipment, College of Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing 100083, China;1. Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, PR China;2. Systems Science College, Beijing Normal University, Beijing 100875, PR China;1. Laboratoire Quartz (EA7393), Supméca, 3 rue Fernand Hainaut, 93400 Saint Ouen, France;2. Estaca’Lab, Estaca, 12 Avenue Paul Delouvrier, 78180 Montigny-le-Bretonneux, France |
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| Abstract: | Complex product development increasingly entails creation and sharing of design knowledge in a collaborative and integrated working environment. In this context, it has become a central issue to address the multifaceted feature of design knowledge for such a collaborative knowledge sharing scheme. This paper proposes a hypernetwork-based approach to explicitly capturing the relationships between various elements in a multifaceted knowledge representation. Specifically, a knowledge hypernetwork model is constructed, which is composed of a designer network, a product network, an issue network and a knowledge unit network. The relationships between various nodes from different networks are identified and defined according to specific node properties. In addition, topological characteristics of the hypernetwork structure are analyzed together with the statistical indicators. Based on this model, the Bayesian approach is adopted to conduct the collaborative reasoning process whereby knowledge elements relevant to the current design task are recommended according to the issues to be resolved and the current design context. A case study conducted in this work shows that the proposed approach is effective in capturing the complex relationships between multi-faceted knowledge elements and enables collaborative retrieval and reasoning of knowledge records. |
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| Keywords: | Collaborative knowledge reasoning Hypernetwork-based model Bayesian approach Engineering design |
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