OntoTrans presents an ontology-based Open Translation Environment, which delivers focused guidance throughout the translation process. This guidance covers the journey from defining innovative cases to creating material models, including validation, verification, and uncertainty quantification.
OntoTrans introduces a versatile ontology-based Open Translation Environment (OTE) designed to empower materials producers, product manufacturers, and translators with intelligent support across every facet of the translation process. Here’s how OntoTrans accomplishes this:
- Representation: OntoTrans embodies manufacturing process challenges in a standardized ontological format, portraying them as Technical and Business Innovation Cases (UC).
- Connection: It establishes meaningful connections between these innovation cases and relevant information sources, such as available data and materials modeling solutions.
- Recommendation: OntoTrans provides tailored guidance by suggesting consistent materials modeling workflow options tailored to the specific context.
- Support: It offers comprehensive support for simulation and validation activities, streamlining the entire process.
- Semantic Interpretation: OntoTrans enables semantic interpretation of results, facilitating the sharing and reuse of innovation cases and their outcomes.
The goal of OntoTrans is to enhance decision-making processes by intelligently integrating Open Simulation Platforms (OSP), data-driven models, materials databases, exploratory and recommendation systems, and ontology-driven databases. The OTE’s capabilities will be showcased through the development and usage of applications targeting four critical manufacturing challenges. Don’t miss this opportunity to delve into the boundless potential of OntoTrans in the realm of materials innovation and translation. Join us for a transformative training event that promises to be both enlightening and enriching.
Storing, describing, and retrieving scientific data in an Open Translation Environment.
In this workshop, we will use semantic technologies for data management in a unified framework covering materials modelling, experimental characterization, and process optimization in manufacturing. The workshop is aimed at domain experts who want to make their expertise available to a broader audience, for example, by sharing data, description of experimental capabilities, or production process. The Elementary Multiperspective Elementary Ontology (EMMO) will be used to describe the concepts of a specific application. The structure of the ontology and its most essential classes will be presented, followed by a hands-on session where the participant will create their own domain/expert ontology. External data sources (e.g. a spreadsheet) will be injected into a semantic database (e.g. a triplestore) and mapped to their relevant ontological concepts using data pipelines. The users will finally be able to retrieve the desired information by querying the database directly. The technology at the base of this workshop is being developed in the project OntoTrans. It represents the first step towards creating an EU-wide open innovation platform where end-users can state their industrial challenge and get recommendations to relevant data sources, materials modelling workflows, or experimental testbeds.
Special requirements: The participants must install the program VirtualBox before attending. Having at least 4GB of RAM and 10 GB of free space on the hard disk is recommended.
Featuring Distinguished Speakers:
- Jesper Friis (SINTEF, NO) – Shedding Light on Interoperability with Data Documentation and Ontologies.
- Emanuele Ghedini (University of Bologna, IT) – Delving into Knowledge Management in Materials Modeling via the EMMO Ontology Framework.
- Otello Roscioni (Goldbeck-Consulting, UK)
- Alessandro Calvio (University of Bologna, IT)
- Natalia Konchakova (Helmholtz-Zentrum Hereon, DE)
- Fajar Ekaputra (Vienna University of Economics and Business and Technical University of Vienna, AU)
Otello Roscioni, Alessandro Calvio and and Fajar Ekaputra will lead the training.
Acknowledgement: The authors acknowledge the OntoTrans project for funding this work through the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862136.