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AI-Supported Innovation Monitoring

Barteld Braaksma; Piet Daas; Stephan Raaijmakers; Amber Geurts; André Meyer-Vitali
In: Fredrik Heintz; Michela Milano; Barry O'Sullivan (Hrsg.). First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers. Workshop on Foundations of Trustworthy AI integrating Learning, Optimisation and Reasoning (TAILOR-2021), Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization, located at European Conference on Artificial Intelligence (ECAI), September 4-5, online, Pages 220-226, Lecture Notes in Computer Science (LNCS), Vol. 12641, ISBN 978-3-030-73959-1, Springer, Cham, 9/2020.


Small and medium enterprises (SME) are a driving force for innovation. The stimulation of innovation in these SME shall be the target for political interventions, both regionally and nationally. Which technical areas should be in the focus? In this position paper, we propose AI-supported methods to combine innovation monitoring using natural language processing (NLP) and a dynamic knowledge graph that combines learning, reasoning and knowledge sharing in collaboration with innovation experts (Hybrid AI).


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