From knowledge discovery to knowledge creation: How can literature-based discovery accelerate progress in science?

Neil R Smalheiser, Gus Hahn-Powell, Dimitar Hristovski, Yakub Sebastian

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

This essay gives an overview and describes prospects for generating new scientific knowledge from disparate datasets, as viewed by four active practitioners from around the globe (Illinois, Arizona, Slovenia and Australia). Although artificial intelligence (AI) and machine learning (ML) are central techniques employed in the field, the key concepts in this essay are undiscovered public knowledge (UPK) and literature-based discovery (LBD). These comprise a variety of situations, including some not yet tackled via ML.
Original languageEnglish
Title of host publicationArtificial Intelligence in Science
Subtitle of host publicationChallenges, Opportunities and the Future of Research
EditorsAlistair Nolan
Place of PublicationParis
PublisherOECD Publishing
Number of pages8
ISBN (Electronic)978-92-64-44621-2
ISBN (Print)978-92-64-44154-5
DOIs
Publication statusPublished - 26 Jun 2023

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