During 2017, University of Bergamo and Warrant Innovation Lab have been starting a partnership to diffuse TRIZ in Italian SMEs. They aim to make SMEs perceive TRIZ as a time-saving methodology, the main needing expressed about innovation. The offering is a one-day problem-solving activity that aims at generating conceptual solutions, potentially patentable. First cases highlighted the reformulation was the trickiest phase: the extraction of the high-level technological alternatives cannot be supported by classical TRIZ tools (object-product transformation, ENV model, IFR, resources, evolutive laws, multiscreen, MTS) for both limited time and lacks in TRIZ skills of the customer. The staff overcomes such a double issue pre-processing the initial problem's information to extract insights from knowledge DBs. The results will be shown as visual-psychological triggers to stimulate the creativity of non-TRIZ-skilled users. The paper will disclose how visual triggers can work and how a triz expert facilitator can create them.
The key factor in decision-making is the quality of information collected and processed in the problem analysis. In most cases, patents represent a very important source of information. The main problem is how to extract such information from the huge corpus of documents with a high recall and precision, and in a short time. This article demonstrates a patent search and classification method, called Knowledge Organizing Module, which consists of creating, almost automatically, a pool of patents based on polysemy expansion and homonymy disambiguation. Since the pool is done, an automatic patent technology landscaping is provided for fixing the state of the art of our product, and exploring competing alternative treatments and/or possible technological opportunities. An exemplary case study is provided, it deals with a patent analysis in the field of verruca treatments.
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