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In this first webinar of the OntoCommons project we will provide a brief overview about the OntoCommons EcoSystem (OCES), Top Reference Ontologies, Industrial Domain Ontologies, FAIR Ontologies, Standardisation in the ontology ecosystem, the OntoCommons Community and the Focus Areas of the OntoCommons project.
The webinar will be held on 23 February 2021 at 2pm GMT (15:00 CET).
Ontologists, industrial stakeholders, implementers, and end users should participate to learn more about:
- The Ontology Commons EcoSystem (OCES)
- The roles played by the Top Reference Ontologies, Industrial Domains and FAIR Ontologies
- Standardisation in the ontology ecosytem
- Our plans to grow the OntoCommons Community through engagement with key Focus Areas
Goldbeck Consulting is pleased to organise a session at the the EU Industry Days, 5/6 February 2019, the flagship EU event on industrial policy. The conference will include various sessions organised by different Commission departments and industrial stakeholders. High profile industry speakers will attend the event with the purpose of influencing and inspiring future industry leaders, and prompting discussion and debate amongst different audience categories.
The session on Digital Materials will take place on 6 February and discuss a range of questions including
- How to increase European manufacturing and process industry capacity to extract knowledge from data?
- How to support leadership by digital transformation of data into knowledge?
- What actions are proposed for a common semantic knowledge base in materials?
- How can efforts to build ontologies in various domains of materials and manufacturing be combined for best effect?
- How to achieve that manufacturing companies remain competitive (new products, high-added value) on the basis of knowledge extracted from wide-spanning data sets?
- How to promote European benefits from data management, standardised documentation enabling interoperability and linking tools for enriching and enhancing the usability of data?
The session will feature contributions from a range of experts including:
- Martin Winter, Innovation Manager, Cefic Innovation, Advisory Group & Digital Technologies, European Chemical Industry Council.
- Riikka Virkkunen, VTT Digitalising Industries Manager, EFFRA board member.
- Ulrike Sattler, Professor of Computer Science, University of Manchester.
- Tim Dahmen, Team Leader, German Research Centre for Artificial Intelligence, Co-author of https://www. dgm.de/medien/print-medien/strategiepapier-digitale-transformation/
- Hedi Karray, INP Toulouse, Industrial Ontologies Foundry
Registration for the conference is free.
Join peers from a wide range of backgrounds sharing an interest in materials digitalisation, from digital online marketplaces for materials modelling to interoperability and ontologies at IntOp2018, organised by the European Materials Modelling Council (EMMC) on 6-7 November in Freiburg im Breisgau, Germany.
Materials Modelling Marketplaces are next generation systems integrating tangible and intangible materials model components to support enhanced innovation. These digital marketplace take advantage of recent advances in information technologies to establish online innovation platforms to explore, learn, and create advanced materials modelling solutions covering all models and domains.
Wider interoperability across models and data is key to enhanced integration, marketplace and digitalisation. It requires agreement based on ontologies for materials, including characterisation, modelling, processing of materials as well as data, models and services.
The workshop will discuss the establishment of a digital single marketplace as innovation hub for the advancements of materials based industries. The workshop addresses both key technological and organisational human capital gaps.
The EMMC is seeking support of the entire community for the establishment of common standards for access to all online materials modelling resources including data repositories of materials properties, online modelling workflows, translation, education and training services.
The workshop will also host a kickoff session for the International Materials Ontology Interest Group led by the EMMC.
For further details and registration, see the EMMC website.
The CEN (European Committee for Standardization) Workshop Agreement CWA 17284 “Materials modelling – terminology, classification and metadata” described in an earlier post has been published. Here is the Abstract:
This CWA includes definitions of fundamental terms for the field of materials modelling and simulation. Computational materials models in this CWA are understood to be physics-based models. This CWA does not include data-based models. The definitions enable a classification of materials models. Using the entity and physics equation concepts, leads to a relatively small number of distinct materials models replacing the current situation of opacity of materials models and simulations that make the field hard to access for outsiders. This CWA also provides a systematic description and documentation of simulations including the user case, model, solver and post-processor: the “materials MOdelling DAta” (MODA). This document seeks to organize the information so that even complex simulation workflows can be conveyed more easily and key data about the models, solvers and post-processors and their implementation can be captured. A template MODA for physics-based models is described in order to guide users towards a complete documentation of material and process simulations. The CWA is based on the Review of Materials Modelling (RoMM). A MODA for data-based models can be found in the RoMM.
This document provides the basis for moving the materials modelling field up the semantic spectrum, laying the foundation for knowledge organisation achieved in many other fields (see e.g. the Osthus presentation “From Big Data to Big Analysis” given at the EMMC Workshop on Interoperability in Materials Modelling). It lays the foundation for developing and ontology of materials modelling, enabling interoperability, reasoning and knowledge extraction in the materials science domain.