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Biological knowledge capture and representation inspired by Zachman Framework principles

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Abstract

The biological knowledge capture and its representation in bioinspired design are challenging as knowledge is widely scattered, bulky and complicated due to its cross-domain nature. There is a dearth of bioinspired design firms, and the roles of their actors are ignored. Various causal and functional models developed hardly represent collective knowledge and are less useful for designers. To overcome these challenges, we have used the Zachman Framework in two ways. The Zachman Framework is primarily used to represent complex objects with much information from an architectural perspective. Firstly, by using the original Zachman Framework, we represent knowledge transfer in a bioinspired design organization. Secondly, we modify the Zachman Framework to represent the biological entities. We present a complete description, methodology, and approach for both these cases. The goal of first approach is to organize and represent captured knowledge transfer and make it readily available for stakeholders for making design decisions. The second approach as modified framework is significant as it can represent knowledge of any biological entity in its entirety as a knowledge capsule. The contribution of this paper is to propose approaches for using the Zachman Framework that provides a mechanism to ensure that the holistic bioinspired knowledge activities are able to drive the bioinspired design cycle and applicable to all bioinspired design studios. The guidance provided by the adapted Zachman Framework can help designers in deciding whether to attend or to ignore the biological entity, supporting the learning environments and validating for the knowledge addition in real-time applications.

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  1. Department of Mechanical Engineering, IIT, Ropar, India

    Sunil Sharma & Prabir Sarkar

  2. Lovely Professional University, Phagwara, India

    Sunil Sharma

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Sharma, S., Sarkar, P. Biological knowledge capture and representation inspired by Zachman Framework principles. Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01259-y

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