This booklet is a copy of the original chapter Artificial intelligence for curation of information and knowledge acquisition authored by Christopher L. Farrow, PhD and Alexandre Chabot-Leclerc, PhD of Enthought from the book Next-generation Materials Development Using Materials Informatics, Quantum Computers, Natural Language Processing, and Autonomous Experimental Systems (マテリアルズインフォマティクス・量子コンピュータおよび自然言語処理と自律型実験システムを活用した次世代材料開発).
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Artificial intelligence for curation of information and knowledge acquisition
ABSTRACT
As competition in new material development intensifies, the importance of knowledge acquisition to accelerate R&D is increasing. The chapter explains how artificial intelligence can contribute to knowledge acquisition. The process of transforming information into knowledge can be divided into two stages: “curation” and “knowledge acquisition.” AI supports both stages by integrating information, assigning meaning, and facilitating researchers’ access to this knowledge. The scientific search system includes components developed in collaboration with our clients and is currently being used in real-world applications.
OUTLINE
Introduction
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The book can be purchased from the publisher's website.
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We partner with companies worldwide to solve complex data challenges unique to enterprise scientific R&D. By leveraging advanced technologies, we accelerate innovation and drive business transformation. We bring an unparalleled blend of expertise and experience in advanced AI/ML techniques, scientific research and data, and leveraging R&D to support the business. Enthought is headquartered in Austin, Texas, USA, with additional offices in Tokyo, Japan; Cambridge, United Kingdom; and Zürich, Switzerland.
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