Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4561
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dc.contributor.authorSharma, S-
dc.contributor.authorSarkar, P-
dc.date.accessioned2024-05-28T16:27:34Z-
dc.date.available2024-05-28T16:27:34Z-
dc.date.issued2024-05-28-
dc.identifier.urihttp://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4561-
dc.description.abstractAbstract Biological knowledge can be represented using different models textually and diagrammatically. One of the least explored diagrammatic methods for biological knowledge representation is concept map. In this paper, we present the growth in publications for concept map from 1974 to 2021 and attempt to capture the knowledge of phenomenon exhibited by the biological entity and represent its knowledge by information extraction for the use of designers in the bioinspired design process. A preliminary investigation has also been done to determine whether a causal mechanism can be found in the concept map. If yes, whether it is easy to abstract knowledge in a concept map or not. We also present the generic methodology to develop a concept map for any biological text with an example. To develop the concept map, biological knowledge is deconstructed from the text. Comparative text content analysis in biological text and concept has been done to know about redundancy. We then developed a completed concept map and assessed whether the participant understands the biological information without any intervention. The overall aim is to know whether knowledge can be captured and represented using concept maps for bioinspired design. This research aims to provide designers with a methodology to develop their own concept maps for biological entities. The overall goal is to foster meaningful learning and support bioinspired product design.en_US
dc.language.isoen_USen_US
dc.subjectDesign methods & aidsen_US
dc.subjectDesignen_US
dc.subjectConcept mapen_US
dc.subjectBioinspireden_US
dc.subjectBiomimicryen_US
dc.titleKnowledge capture and its representation using concept map in bioinspired designen_US
dc.typeArticleen_US
Appears in Collections:Year-2023

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