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@Mat-O-Lab

Materials Open Laboratory

Joint Venture of Fraunhofer Materials and BAM
README.md

Vision

Mat-O-Lab describes material science human and machine readable, proving the use from laboratory to product.

Mission

Mat-O-Lab stands for the digitization of materials, parts and components along their entire life cycle. For that purpose, concrete practical and applicable solutions for pilot cases centered about specific materials are developed and provide for public use. Key results (datasets, ontologies, tools for data structuring and data analysis) from parallel research projects are consolidated and constantly improved. Mat-O-Lab also stands for a new, open and agile collaboration between the institutes of the Fraunhofer Group Materials and Components (MATERIALS), the Bundesanstalt für Materialforschung und -prüfung (BAM) and interested partners from industry and academia.

Premises

  • We use the Basic Formal Ontology (BFO) as top level ontology (https://basic-formal-ontology.org/)
  • We focus on using Common Core Ontology Stack https://github.com/CommonCoreOntology/CommonCoreOntologies, therefore we migrated the BWMD Ontology and provide it as Material Science an Engineering Ontology (MSEO) https://github.com/Mat-O-Lab/MSEO
  • Tools and Ontologies created in Mat-O-Lab should be open source and publicly available
  • We aim to create meaningful metadata for primary experiment data, therefore raw data in files (Ascii, Images, ....) is referenced by an URI but all metadata is converted to sematic data. It also includes information on the structure of the raw data file, to enable digestion of the raw data itself . By combining it with a method knowledge representation, a graph. The tabular data is untouched and will not be converted.
  • Semantic data is to be shared in a decentral dataspace. Data sovereignty and security are primary aspects to be addressed in a practical solution. Mat-O-Lab considers a IDS based solution https://internationaldataspaces.org/ foremost.
  • Method knowledge graphs must be constructed by domain experts; therefore, we must provide tools for them to do so. mapping between data and method graphs must be done by domain experts, inherent knowledge about the specific method is necessary to do so.!

Networking

We try to actively connect to

and all willing partners

Popular repositories Loading

  1. MSEO MSEO Public

    Repository of Material Science and Engineering Ontology MSEO

    Jupyter Notebook 8 3

  2. RDFConverter RDFConverter Public

    Conversion and validation of YARRRML and Chowlk files to RDF. Applied to Material Sciences Methods

    Python 7

  3. CSVToCSVW CSVToCSVW Public

    Generates JSON-LD for various types CSVs

    Jupyter Notebook 5

  4. KnowledgeUI KnowledgeUI Public

    Application to Interact with a Knowledge Base in a Triple Store

    HTML 3 1

  5. OrgSite OrgSite Public

    Repo to generate the OrgSite

    SCSS 3

  6. resources resources Public

    Primary data files, etc

    2

Repositories

Showing 10 of 35 repositories
  • MapToMethod Public

    Tool to map content of JSON-LD files (output of CSVtoCSVW) describing CSV files to Information Content Entities in knowledge graphs describing methods in the method folder of the MSEO Ontology repository at https://github.com/Mat-O-Lab/MSEO.

    Mat-O-Lab/MapToMethod’s past year of commit activity
    Python 1 0 0 0 Updated Sep 26, 2024
  • ckanext-csvwmapandtransform Public

    CKAN extension facilitating MapToMethod and RDFConverter map CSVW data to knowledge graphs and run automatic transforms fro matching maps as a background job.

    Mat-O-Lab/ckanext-csvwmapandtransform’s past year of commit activity
    Python 0 AGPL-3.0 0 0 0 Updated Sep 26, 2024
  • ckanext-matolabtheme Public
    Mat-O-Lab/ckanext-matolabtheme’s past year of commit activity
    HTML 0 AGPL-3.0 0 0 0 Updated Sep 24, 2024
  • ckanext-csvtocsvw Public

    Extention to automate meta data creation for csv files with the help of the csvtocsvw tool of mat-o-lab.

    Mat-O-Lab/ckanext-csvtocsvw’s past year of commit activity
    Python 0 AGPL-3.0 0 1 0 Updated Sep 24, 2024
  • DataStack Public

    Docker Compose Stack to transform Material Science Data into Sematic Data

    Mat-O-Lab/DataStack’s past year of commit activity
    Dockerfile 0 GPL-3.0 1 0 0 Updated Sep 17, 2024
  • ckanext-fuseki Public Forked from etri-odp/ckanext-jena

    Semantic data management extension with Apache Jena Fuseki for CKAN

    Mat-O-Lab/ckanext-fuseki’s past year of commit activity
    Python 0 AGPL-3.0 1 0 0 Updated Sep 13, 2024
  • OpenBISmantic Public

    Demonstrator of a Export Mechanism for OpenBIS Data to Semantic Data.

    Mat-O-Lab/OpenBISmantic’s past year of commit activity
    TypeScript 1 GPL-3.0 4 12 (1 issue needs help) 2 Updated Sep 12, 2024
  • OpenBIS-Ontology Public
    Mat-O-Lab/OpenBIS-Ontology’s past year of commit activity
    Python 0 1 1 0 Updated Sep 11, 2024
  • CSVToCSVW Public

    Generates JSON-LD for various types CSVs

    Mat-O-Lab/CSVToCSVW’s past year of commit activity
    Jupyter Notebook 5 Apache-2.0 0 0 0 Updated Aug 28, 2024
  • ckanext-multiuploader Public Forked from TIBHannover/ckanext-multiuploader

    CKAN extension for uploading multiple resources at once.

    Mat-O-Lab/ckanext-multiuploader’s past year of commit activity
    Python 0 AGPL-3.0 3 0 0 Updated Aug 14, 2024
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