Analysis and interpretation of ideas: Proposal of a model

Abstract

Ideas are considered the raw material of the innovation process. Good ideas can impact the planning of continuous improvement actions and the promotion of differentiated products. The knowledge involved in the domain of idea management is generally latent and must be adequately discovered using quantitative methods such as data mining or data-based approaches. The great challenge is to generate pragmatic and useful ideas for the development of new products, lacking research to completely develop new services or product ideas using quantified or data-oriented approaches. In order to design a system to support and facilitate this process it is necessary to formalize the main knowledge involved in the domain. The representation and formalization of knowledge can occur semantically. The objective of this study is to propose a model of idea mining, capable of contributing to the analysis and interpretation of the data, with the purpose of assisting in the decision making process.