@inbook{baa3886da82e4f8490f5f1464ab69333,
title = "AI-Supported Innovation Monitoring",
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.",
keywords = "Human-machine interaction, Hybrid AI, Innovation, Knowledge graph, Natural Language Processing, Policy-making",
author = "Barteld Braaksma and Piet Daas and Stephan Raaijmakers and Amber Geurts and Andr{\'e} Meyer-Vitali",
year = "2021",
doi = "10.1007/978-3-030-73959-1_20",
language = "English",
isbn = "9783030739584",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science+Business Media",
pages = "220--226",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}