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

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › 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	Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers
Editors	Fredrik Heintz, Michela Milano, Barry O’Sullivan
Publisher	Springer
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
Event	1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020 - Virtual, Online Duration: 4 Sept 2020 → 5 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12641 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020
City	Virtual, Online
Period	4/09/20 → 5/09/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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 F. Heintz, M. Milano, & B. O’Sullivan (Eds.), Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers (pp. 220-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12641 LNAI). Springer. https://doi.org/10.1007/978-3-030-73959-1_20

Braaksma, Barteld ; Daas, Piet ; Raaijmakers, Stephan et al. / AI-Supported Innovation Monitoring. Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. editor / Fredrik Heintz ; Michela Milano ; Barry O’Sullivan. Springer, 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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Braaksma, B, Daas, P, Raaijmakers, S, Geurts, A & Meyer-Vitali, A 2021, AI-Supported Innovation Monitoring. in F Heintz, M Milano & B O’Sullivan (eds), Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12641 LNAI, Springer, pp. 220-226, 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020, Virtual, Online, 4/09/20. https://doi.org/10.1007/978-3-030-73959-1_20

AI-Supported Innovation Monitoring. / Braaksma, Barteld; Daas, Piet; Raaijmakers, Stephan et al.
Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. ed. / Fredrik Heintz; Michela Milano; Barry O’Sullivan. Springer, 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/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Daas, Piet

AU - Raaijmakers, Stephan

AU - Geurts, Amber

AU - Meyer-Vitali, André

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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.

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KW - Hybrid AI

KW - Innovation

KW - Knowledge graph

KW - Natural Language Processing

KW - Policy-making

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

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BT - Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers

A2 - Heintz, Fredrik

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T2 - 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020

Y2 - 4 September 2020 through 5 September 2020

ER -

Braaksma B, Daas P, Raaijmakers S, Geurts A, Meyer-Vitali A. AI-Supported Innovation Monitoring. In Heintz F, Milano M, O’Sullivan B, editors, Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. Springer. 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this