JSAI2022

Presentation information

General Session

General Session » GS-3 Knowledge utilization and sharing

[4M3-GS-3] Knowledge utilization and sharing: knowledge structure

Fri. Jun 17, 2022 2:00 PM - 3:40 PM Room M (Room B-2)

座長:石井 岳(東芝)[遠隔]

2:00 PM - 2:20 PM

[4M3-GS-3-01] Extractions of quantitative relationship between material properties from materials science textbooks

〇michiko yoshitake yoshitake1, Takashi Kono1 (1. National Institute for Materials Science)

Keywords:mathematical formula, meaning of parameters, natural language processing

We have worked on making network-type database where relationships among various materials properties are stored and searched. The relationships are extracted from science textbooks using natural language processing techniques. In material science, quantitative relationship is also very important. Here, we have made a trial to extract quantitative relationships between material properties from mathematical formula and texts in materials science textbooks.

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