Semi-automatic staging area for high-quality structured data extraction from scientific literature

Semi-automatic staging area for high-quality structured data extraction from scientific literature

ABSTRACTWe propose a semi-automatic staging area for efficiently building an accurate database of experimental physical properties of superconductors from literature, called SuperCon2, to enrich the existing manually-built superconductor database SuperCon. Here we report our curation interface (Supe...

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Bibliographic Details
Main Authors: Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
Materials informatics
superconductors
machine learning
database
TDM
Online Access:https://www.tandfonline.com/doi/10.1080/27660400.2023.2286219

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