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  4. Towards Enhancing Open Innovation Efficiency: A Method for Ontological Integration of BPMN and EMMO
 
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2023
Conference Paper
Title

Towards Enhancing Open Innovation Efficiency: A Method for Ontological Integration of BPMN and EMMO

Abstract
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.
Author(s)
Feltus, Christophe
Nicolas, Damien
Kavka, Carlos
Khadraoui, Djamel
Belouttar, Salim
Konchakova, Natalia A.
Preisig, Heinz A.
Norwegian University of Science and Technology (NTNU), Department of Chemical Engineering
Klein, Peter  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Mainwork
FedCSIS 2023, 18th Conference on Computer Science and Intelligence Systems. Proceedings  
Conference
Conference on Computer Science and Intelligence Systems 2023  
Open Access
DOI
10.15439/2023F8906
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Computer science

  • Technological innovation

  • Government

  • Collaboration

  • Ontologies

  • Research and development

  • Business

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