By Marten van Sinderen, Vincent Chapurlat

This publication constitutes the lawsuits of the sixth overseas IFIP operating convention on company Interoperability, IWEI 2015, held in Nîmes, France, in might 2015. the development used to be geared up through the IFIP operating team 5.8 on firm Interoperability in co-operation with INTEROP-VLab and PGSO (Pole Grand Sud Ouest) from INTEROP-Vlab. The subject for IWEI 2015 was once “From firm Interoperability Modelling and research to company Interoperability Engineering.”

The 9 complete, 4 brief, and commercial papers provided during this quantity have been rigorously chosen from 20 submissions. the choice was once in line with an intensive overview method, within which every one paper was once reviewed by way of no less than 3 specialists within the box. The papers are consultant of the present examine actions within the region of firm interoperability. They disguise a large spectrum of firm interoperability matters, together with foundational theories, frameworks, architectures, tools and instructions, and purposes and case studies.

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The main data source that can be used for the calculation process PIs in the verification of interoperability requirements are the integrated event logs which are widely used in the fied of cross-organizational process mining. Cross-organizational workflow is usually distributed on different servers owned by different partners or different organizations [29,30]. Cross-organizational workfows are enabled by web-services technology [31]. A Framework for workflow integration based on process mining is proposed in [30].

Figure 5 shows the content of this MMM. Fig. 5. The class diagram of the meta-meta-model For GMTM, this MMM works on the top abstract level of all the other models. As this MMM is defined as a common criterion, the meta-models (for both source models and target models) could be built or transformed to the versions that conform to it. 22 T. Wang et al. As shown in Fig. 5, there are ten core elements in this meta-meta-model. As models may come from various domains or systems, a class named “Environment” is defined to stand for these domains.

With rules that defined in specific domains, such information could be transformed to knowledge which serves to domain specific problems. By combining semantic and syntactic checking measurements into model transformation process, an efficient general model transformation methodology is created. A General Model Transformation Methodology 29 With the improvement on some of the details that involved in this GMTM, this methodology may serve to a large number of domains. References 1. AMICE: CIMOSA: CIM Open System Architecture, 2nd edn.

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