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SPARQL endpoint The MatWerk ontology (mwo) The NFDI Core Ontology (nfdicore) Data collection spreadsheets NFDI-MatWerk LOD Working Group The Q&A using the natural text About NFDI-MatWerk consortium Contact Us

MSE Knowledge Graph v1.0

This is an experimental demo for the MSE Knowledge Graph v1.0

Purpose

The purpose of creating the MSE KG v1.0 is to represent the consortium resources to enable integrative access to distributed heterogeneous research data within the institutions participating in NFDI-MatWerk, the MSE community, as well as across consortiums within the NFDI network and beyond. It will be the backend data resource for the NFDI MatWerk portal. The knowledge graph will be continuously updated based on new information from the consortium.

Image Description

Content

The materials science and engineering knowledge graph (MSE-KG) is designed and implemented under consideration of W3C standardized technologies. Wikibase will be used as a platform for the deployment and curation of the MSE knowledge graph. Currently, the knowledge graph contains data about resources in the MSE  domain belonging to various categories, including:

  • community structure: researchers, research projects, universities, and institutions;
  • infrastructure: software, workflows, controlled vocabularies, instruments, facilities, educational resources and events;
  • data: repositories, databases, scientific publications, published datasets, and reference data;
  • educational resources and events: lectures, summer schools,  lecture notes, etc.

The MSE-KG will be a single point of access for users to query for domain knowledge, improving scientific data and resource exploration. We plan the integration of MSE ontologies and our MSE knowledge graph in existing web-based platforms conforming to international standards.

 

 

How to contribute?

If you would like to contribute to the KG, simply

  1. download data collection spreadsheets (from here),
  2. add your data to the appropriate places, and
  3. send out the completed spreadsheet to us at MatWerkOMS@fz-juelich.de.

Competency questions

Infrastructure use cases (IUCs)-related questions with the corresponding SPARQL queries:

  • (IUC02) What are datasets produced by the BAM organization? List the title, standard, license, hosting repository and which material it is about.
SPARQL  
  • (IUC04) What are the resources related to the SFB1394 Project?
SPARQL  
  • (IUC09) What are Computational Workflows associated with the Atom Probe Tomography method? List the funding project(s), license and the repository URI.
SPARQL  
  • (IUC17) What are ontologies which describe "crystalline defects"? List the repositories and related project.
SPARQL  
  • (Indentation) What are workflows related to keywords: Aluminium and Elastic Constants? List the type, URL, funding project and authors.
SPARQL  

General questions with the corresponding SPARQL queries:

  • Who is working with Researcher "Ebrahim Norouzi" in the same group? Return the ORCID IDs?
SPARQL  
  • What is the email address of the contact point of "NOMAD" DataPortal?
SPARQL  
  • What is "Molecular Dynamics" Software? List the programming language, documentation page, repository, and license information.
SPARQL  
  • What are the ontologies in the nanomaterials domain?
SPARQL  
  • What software is used to produce the data in the Materials Cloud repository?
SPARQL  
  • What are the organizations in the KG that are categorized as a Public University in Wikidata?
SPARQL  
  • Give me the contact point of Elemental Multiperspective Material Ontology (EMMO) and the related projects.
SPARQL  
  • List all ontologies with the Creative Commons Attribution 4.0 license.
SPARQL  
  • List people who have expertise in Information Service Engineering and the lecture they give.
SPARQL  
  • List software that is written in Python with a GNU General Public License.
SPARQL  

Browse the MSE Knowledge Graph resources interactively via LodLive

Sample resources

  • Consortium: NFDI-MatWerk (resource E1247022)
  • Person: Prof. Dr Harald Sack (resource E14862)
  • Organization: Leibniz-Institut für Informationsinfrastruktur (resource E1016)
  • Resources: Dislocation Ontology (DISO) (resource E1129754)
  • Dataset: BAM reference data (resource E1173747)