Towards Enhancing Open Innovation Efficiency: A Method for Ontological Integration of BPMN and EMMO
Auteurs
Feltus C., Nicolas D., Kavka C., Khadraoui D., Belouttar S., Konchakova N., Preisig H.A., Klein P.
Référence
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, pp. 471-479, 2023
Description
The process of open innovation based on advanced materials involves the collaborative sharing of knowledge, ideas, and resources among different organisations, such as academic institutions, businesses, and government agencies. It is suggested that Business Process Modelling and Notations (BPMN) and Elementary Multiperspective Material Ontology (EMMO) be closely integrated to accelerate the development of new materials and technologies and address complex material challenges. In this paper, we examine the integration of EMMO and BPMN through an initial investigation to streamline workflows, enhance communication, and improve the understanding of materials knowledge. We propose a four-step approach to integrate both ontologies, which involves ontology alignment, mapping, integration, and validation. Our approach supports faster and more cost-effective research and development processes, leading to more effective and innovative solutions.
