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Proceedings of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 35

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

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DOI: http://dx.doi.org/10.15439/2023F8906

Citation: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 471–479 ()

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Abstract. The process of open innovation based on advanced materials involves the collaborative sharing of knowledge, ideas, and resources among different organizations such as academic institutions, businesses, and government agencies. To accelerate the development of new materials and technologies and to address complex material challenges, it is suggested that Business Process Modeling and Notations (BPMN) and Elementary Multiperspective Material Ontology (EMMO) be closely integrated. In this paper, we examine the integration of EMMO and BPMN through an initial investigation with the aim of streamlining workflows, enhancing communication, and improving 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.

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