Abstract. Although the construction industry, in contrast to the stationary industry, is characterized by One of a Kind fabrication, there can be found similarities in project, product, process and organizational structures. The focus of this paper is to identify relationships, roles and model types, which are often needed in a specific project context and summarize these similarities by the use of a collaboration ontology providing for Multi-Model logistics. Reference models on the one side and a model to describe the project context on the other side should ensure that all partners retrieve precisely situation-specific selections of the application models which are necessary for their tasks. Furthermore, a pilot scenario is presented, which evaluate this approach on an Azure Cloud collaboration platform. As a result, we obtain an approach, which allows simplified handling and reuse of complex project-, product-and collaborationmodels in order to support the collaboration within a virtual Organization in Construction Industry.
During the execution of large scale construction projects performed by Virtual Organizations (VO), relatively complex technical models have to be exchanged between the VO members. For linking the trade and transfer of these models, a so-called multi-model container format was developed. Considering the different skills and tasks of the involved partners, it is not necessary for them to know all the models in every technical detailing. Furthermore, the model size can lead to a delay in communication. In this paper an approach is presented for defining model cut-outs according to the current project context. Dynamic dependencies to the project context as well as static dependencies on the organizational structure are mapped in a context-sensitive rule. As a result, an approach for dynamic filtering of multi-models is obtained which ensures, together with a filtering service, that the involved VO members get a simplified view of complex multi-models as well as sufficient permissions depending on their tasks
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