Abstract
Small and medium enterprises (SMEs) are a driving force for innovation. Stimulation of innovation in these SMEs is often the target of policy interventions, both regionally and nationally. Which technical areas should be in the focus and how to identify and monitor them? In this position paper, we propose hybrid AI methods for innovation monitoring, using natural language processing (NLP) and a dynamic knowledge graph that combines learning, reasoning and knowledge sharing in collaboration with innovation experts.
Author supplied keywords
Cite
CITATION STYLE
Braaksma, B., Daas, P., Raaijmakers, S., Geurts, A., & Meyer-Vitali, A. (2021). AI-Supported Innovation Monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12641 LNAI, pp. 220–226). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-73959-1_20
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
