de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature

Luca, F., Thaer, M. D., Akira, S., & Masashi, I. (2019). Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature. In Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature (pp. 1-5). 信学技報, vol. 119, no. 66, SC2019-1 (no.66).

Item is

Basic

show hide
Item Permalink: Version Permalink: http://pubman.nims.go.jp/pubman/item/escidoc:1890245:3
Genre: Conference Paper

Files

show Files
hide Files
:
SC2019-1(nims-1).pdf (Any fulltext), 757KB
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
Copyright(c) 2019 IEICE
License:
-

Locators

show

Creators

show
hide
 Creators:
Luca, Foppiano1, Author
Thaer, M. Dieb1, Author
Akira, Suzuki1, Author
Masashi, Ishii1, Author
Affiliations:
1Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan, escidoc:persistent22              

Content

show
hide
Free keywords: Material Informatics, Superconductors, Machine Learning, NLP, TDM
 Abstract: The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rapid materials development using big data, namely materials informatics (MI). The difficulty of this automatic collection is mainly caused by the variety of expressions in the papers, a robust system with tolerance to such variety is required to be developed. In this paper, we report an ongoing interdisciplinary work to construct a system for automatic collection of superconductor-related information from scientific literature using text mining techniques. We focused on the identification of superconducting material names and their critical temperature (Tc) key property. We discuss the construction of a prototype for extraction and linking using machine learning (ML) techniques for the physical information collection. From the evaluation using 500 sample documents, we define a baseline and a direction for future improvements.

Details

show
hide
Language(s): eng - English
 Dates: 2019-05-102019-05-102019-05-31
 Publication Status: Published online
 Pages: 5
 Publishing info: -
 Table of Contents: -
 Rev. Method: No review
 Identifiers: ISSN: 2432-6380
 Degree: -

Event

show
hide
Title: 電子情報通信学会サービスコンピューティング研究会 2019年度第一回研究会、 第43回MaDIS研究交流会合同研究会
Place of Event: 物質・材料研究機構
Start-/End Date: 2019-05-31 - 2019-06-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature
Source Genre: Proceedings
 Creator(s):
Luca, Foppiano1, Author
Thaer, M. Dieb1, Author
Akira, Suzuki1, Author
Masashi, Ishii1, Author
Affiliations:
1 Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan, escidoc:persistent22            
Publ. Info: 信学技報, vol. 119, no. 66, SC2019-1 (no.66)
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 5 Identifier: ISSN: 2432-6380