# SuperCon Ontology Ver.1.1

https://mdr.nims.go.jp/datasets/65f504d8-1755-4419-b4d8-564201e6428b

## File

- [SuperCon-ont_Schema.owl](https://mdr.nims.go.jp/filesets/af06548a-a295-4121-b599-70b66b754640/download) ([Detail](https://mdr.nims.go.jp/filesets/af06548a-a295-4121-b599-70b66b754640.md))

## Id

65f504d8-1755-4419-b4d8-564201e6428b

## Local identifier

identifier: 8cb4d2ff-6d5e-4d9a-a59c-f40345f170ff/03_SuperConOntology

## Visibility

open_to_public

## State

published

## Created at

2024-08-05T10:26:40.665497Z

## Updated at

2024-08-06T03:30:36.904069Z

## Published at

2024-08-06T03:30:36.983094Z

## Doi

https://doi.org/10.48505/nims.4572

## First published url



## Date published



## Recorded date published



## Resource type

dataset

## Manuscript type

na

## Collection

- id: f2ee17b5-7544-4bdf-8915-4e207925d0ac
  identifier: https://mdr.nims.go.jp/pid/f2ee17b5-7544-4bdf-8915-4e207925d0ac
  title: SuperCon Knowledge Collection

## Title

- title: SuperCon Ontology Ver.1.1
  title_type: original

## Description

- description: "'SuperCon Ontology' is the basic conceptual structure of SuperCon
    RDF (https://doi.org/10.48505/nims.4571), which is published in this collection.
    For more details on the concepts, please refer to the paper (https://doi.org/10.1080/27660400.2023.2223051).
    Please contact us for more information about data integration and use as a knowledge
    base.\r\nWe hope that MDR SuperCon Ontology will lead to discoveries that will
    lead to important breakthroughs in environmental and energy issues. We also welcome
    its use for educational and other purposes. When using this data, please follow
    MDR's Terms of Use and properly indicate the source of this data.\r\n(Example
    of description) This study used the MDR SuperCon Ontology (https://doi.org/10.48505/nims.4572*),
    which is a conceptual structure of superconducting materials published by the
    National Institute for Materials Science (NIMS). The details of RDF schema are
    discuseed in a publication [1].\r\n[1] M. Ishii and K. Sakamoto, 'Structuring
    superconductor data with ontology: reproducing historical datasets as knowledge
    bases', Science and Technology of Advanced Materials: Methods, 3(1) 2223051 (2023).
    https://doi.org/10.1080/27660400.2023.2223051\r\n* A doi is published whenever
    the Ontology is revised. Please specify the version you actually used."
  description_type: abstract
  lang: und

## Creator

- name: Masashi Ishii
  role: author
  orcid: https://orcid.org/0000-0003-0357-2832
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent

- name: Center for Basic Research on Materials
  orcid: https://orcid.org/
  organization: National Institute for Materials Science
  ror: https://ror.org/

## Publisher

organization: National Institute for Materials Science
ror: https://ror.org/026v1ze26

## Managing organization

organization: organization

## Keyword

- subject: SuperCon
  schema: not_defined
- subject: Superconductors
  schema: not_defined
- subject: RDF
  schema: not_defined
- subject: Ontology
  schema: not_defined
- subject: Semantic Web
  schema: not_defined
- subject: SPARQL
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

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## Data origin

- data_origin_type: informatics_and_data_science

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## Fileset

- id: af06548a-a295-4121-b599-70b66b754640
  filename: SuperCon-ont_Schema.owl
  content_type: application/rdf+xml
  size: 92142
  md5: 4c986db7dda49218e4ae99357569bc1b

## Thumbnail

fileset_id: af06548a-a295-4121-b599-70b66b754640
filename: SuperCon-ont_Schema.owl