OntoTRANS - Ontology driven Open Translation Environment

HORIZON 2020 FONDATION FOR TOMORROW'S INDUSTRY 2019 (01-04-2020 / 31-03-2024)

Responsabile Scientifico per il Dipartimento - Prof. Sebastiano Moruzzi

H2020-NMBP-TO-IND-2018-2020 (FOUNDATIONS FOR TOMORROW’S INDUSTRY) Topic: DT-NMBP-10-2019 Type of action: RIA

Abstract

OntoTrans provides an ontology-based Open Translation Environment. Its Artificial Intelligence approach enables end users to represent in a standard ontological form their manufacturing process challenges and to connect them with relevant information sources and materials modelling solutions, capable to support optimal materials and process design. OntoTrans provides smart targeted guidance through the whole translation process, namely from the initial user case specification to actual materials modelling workflows with related validation, verification and uncertainty quantifications to deliver a full complete experience to companies. This is achieved via analysis of available data (data fusion), modelling workflow options, simulation and contextual results interpretation. OntoTrans is fully integrated into existing and emerging developments in materials and manufacturing, including integration with digital materials modelling marketplaces and open simulation platforms. Its footing on the European Materials Modelling Ontology ensuring wide interoperability and standardisation. OntoTrans is developed and tested alongside four industrial challenges covering different types of materials and industries, targeting increased competitiveness by means of a semantic data-driven and agile approach.

Durata

01-04-2020 / 31-03-2024

Altri dipartimenti coinvolti

DIN

DISI

Coordinatore/ Responsabile Nazionale

Emanuele Ghedini (DIN- Unibo)

Partnership (sia unibo che non)

  • Technische Universitaet Wien (AT)
  • Goldbeck Consulting Limited (UK)
  • Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. (DE)
  • Sintef As (NO) Helmholtz-Zentrum Geesthacht Zentrum Fur Material – Und Kustenforschung GMBH (DE)
  • Computational Modelling Cambridge Limited (UK)
  • Datastories International (BE)
  • Alcelormittal Innovacion Investigacion e Inversion SL (ES)
  • Dow Benelux BV (NL)
  • Composites Evolution Limited (UK)
  • Procter & Gamble Service Company NV (BE)

Finanaziamento 

EU contribution € 5.511.936,25