[19a-B01-1~10] 23.1 Joint Session N "Informatics"

▲ [19a-B01-7] Automatic Collection of Critical Temperature Related Expressions from Tables in Superconductors Development Publications

〇Thaer Dieb¹, Akira Suzuki¹, Luca Foppiano¹, Masashi Ishii¹ (1.MaDIS, National Institute for Materials Science)

Keywords:Text mining, Superconductor, Table parsing

Automatic construction of materials databases can support several applications in materials science domain. In this report, we propose an automatic extraction system to collect superconducting materials and their critical temperature (Tc) from tables in related publications using a rule-based approach and a chemical data extractor. Tables provide condensed, rich source of structured information that is used to summarize experiment results.