AI-Supported Innovation Monitoring

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationTrustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers
EditorsFredrik Heintz, Michela Milano, Barry O’Sullivan
PublisherSpringer Science and Business Media B.V.
Pages220-226
Number of pages7
ISBN (Print)9783030739584
DOIs
Publication statusPublished - 2021
Event1st 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 Sep 20205 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12641 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020
CityVirtual, Online
Period4/09/205/09/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

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

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