Abstract
This paper proposes a system of knowledge organization based on TRIZ-derived evolutive trends. The organization is operated by adopting the Macro to Micro TRIZ law as a trigger for defining search targets and as a backbone to build the knowledge evolutive tree. This approach was applied to classify thousands of documents from worldwide Patent database and papers from international journals according to a high-level classification. The goal of this work is to helps to find high-level ranking strategies, allowing a hierarchy of information and better organization to build a knowledge base perfectly matching with the terms of research during problem-solving in the most suitable manner in relation with the specific purposes. This method was applied to practical case study dealing with food packaging during an activity that has been carried out in collaboration with the consultancy firm Warrant Innovation Lab, as part of the program that offers small and medium-sized Italian companies on the topic for supporting TRIZ-based innovation activities. The contribution of this work is to provide novel and intuitive approach to SMEs where the organization of knowledge is of immediate reading and execution for experts in the field.
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Russo, D., Spreafico, C., Carrara, P. (2020). How to Organize a Knowledge Basis Using TRIZ Evolution Tree: A Case About Sustainable Food Packaging. In: Cavallucci, D., Brad, S., Livotov, P. (eds) Systematic Complex Problem Solving in the Age of Digitalization and Open Innovation. TFC 2020. IFIP Advances in Information and Communication Technology, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-61295-5_18
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DOI: https://doi.org/10.1007/978-3-030-61295-5_18
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