Index Catalog // MDR

Description/Abstract:: "SuperCon RDF" is an RDF version of the datasheets published in this collection based on the SuperCon Ontology (https://doi.org/10.48505/...
Keyword:: Ontology, RDF, SPARQL, Semantic Web, SuperCon, and Superconductors
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Masashi Ishii
Date Uploaded:: 11/04/2023
Date Modified:: 19/07/2023

Description/Abstract:: "SuperCon Ontology" is the basic conceptual structure of SuperCon RDF (https://doi.org/10.48505/nims.3872), which is published in this co...
Keyword:: Ontology, RDF, SPARQL, Semantic Web, SuperCon, and Superconductors
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Masashi Ishii
Date Uploaded:: 11/04/2023

Description/Abstract:: In this study, we developed a new information extraction method using a material dictionary database (MDDB), which parses scientific arti...
Keyword:: information extraction, database, magnetic property, materials informatics, natural language processing, and ontology
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Akira Suzuki
Date Uploaded:: 03/02/2023
Date Modified:: 19/03/2024

Description/Abstract:: The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:: tdm, materials science , superconductors, machine learning, and dataset
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Luca Foppiano
Date Uploaded:: 11/10/2022
Date Modified:: 10/11/2022

Description/Abstract:: A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) proc...
Keyword:: machine learning, superconductors, and tdm
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: DIEB, Sae, CASTRO, Pedro, ROMARY, Laurent, TAKANO, Yoshihiko, MENG, Yan, UZUKI, Azusa, ESPARZA, Miren, FOPPIANO, Luca, TERASHIMA, Kensei, SUZUKI, Akira, and IWASAKI, Suguru
Date Uploaded:: 07/01/2021
Date Modified:: 14/10/2022

Description/Abstract:: In this study, we examined machine extraction of polymer data from tables in scientific articles. The extraction system consists of five ...
Keyword:: XML, informatics, machine extraction, polymer data, and table
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: YOSHIZAWA, Atsushi, OKA, Hiroyuki, MATSUMOTO, Yuji, ISHII, Masashi, and SHINDO, Hiroyuki
Date Modified:: 25/02/2021

Description/Abstract:: The identification of physical measurements is a recurrent need in materials informatics (MI). For example, the extraction of superconduc...
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: FOPPIANO, Luca, TANIFUJI, Mikiko, ISHII, Masashi, DIEB M. Thear, and SUZUKI, Akira
Date Uploaded:: 25/10/2019
Date Modified:: 15/06/2020

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