AI-Supported Innovation Monitoring

Barteld Braaksma; Piet Daas; Stephan Raaijmakers; Amber Geurts; André Meyer-Vitali

doi:10.1007/978-3-030-73959-1_20

AI-Supported Innovation Monitoring

Barteld Braaksma, Piet Daas, Stephan Raaijmakers, Amber Geurts, André Meyer-Vitali

Rathenau Institute

Research output: Chapter in book/volume › Chapter › Scientific › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	7
ISBN (Print)	9783030739584
DOIs	https://doi.org/10.1007/978-3-030-73959-1_20
Publication status	Published - 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12641 LNAI

Keywords

Human-machine interaction
Hybrid AI
Innovation
Knowledge graph
Natural Language Processing
Policy-making

Access to Document

10.1007/978-3-030-73959-1_20

Cite this

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) (pp. 220-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12641 LNAI). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-73959-1_20

Braaksma, Barteld ; Daas, Piet ; Raaijmakers, Stephan et al. / AI-Supported Innovation Monitoring. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science+Business Media, 2021. pp. 220-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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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). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12641 LNAI, Springer Science+Business Media, pp. 220-226. https://doi.org/10.1007/978-3-030-73959-1_20

AI-Supported Innovation Monitoring. / Braaksma, Barteld; Daas, Piet; Raaijmakers, Stephan et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science+Business Media, 2021. p. 220-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12641 LNAI).

Research output: Chapter in book/volume › Chapter › Scientific › peer-review

TY - CHAP

T1 - AI-Supported Innovation Monitoring

AU - Braaksma, Barteld

AU - Daas, Piet

AU - Raaijmakers, Stephan

AU - Geurts, Amber

AU - Meyer-Vitali, André

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Human-machine interaction

KW - Hybrid AI

KW - Innovation

KW - Knowledge graph

KW - Natural Language Processing

KW - Policy-making

UR - https://www.mendeley.com/catalogue/16436999-7390-365e-8c0d-2a7e91b321e4/

U2 - 10.1007/978-3-030-73959-1_20

DO - 10.1007/978-3-030-73959-1_20

M3 - Chapter

SN - 9783030739584

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 220

EP - 226

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Science+Business Media

ER -

Braaksma B, Daas P, Raaijmakers S, Geurts A, Meyer-Vitali A. AI-Supported Innovation Monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science+Business Media. 2021. p. 220-226. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-73959-1_20

AI-Supported Innovation Monitoring

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