AI-Supported Innovation Monitoring

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

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.

Originele taal-2Engels
TitelTrustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers
RedacteurenFredrik Heintz, Michela Milano, Barry O’Sullivan
UitgeverijSpringer
Pagina's220-226
Aantal pagina's7
ISBN van geprinte versie9783030739584
DOI's
StatusGepubliceerd - 2021
Evenement1st 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
Duur: 4 sep 20205 sep 2020

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12641 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020
StadVirtual, Online
Periode4/09/205/09/20

Bibliografische nota

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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