Using Role Knowledge for Service Configuration in SOA-based Enterprise Representation

This work investigates the use of knowledge about organizational roles captured in enterprise models for service configuration. Based on an industrial case, it presents a way to extract a role's information demand and to use this as initial configuration for agent-based services. In addition to the meta-model included in the enterprise modeling language, the use of a common ontology is proposed which captures both, the perspective of information demand and services. The architecture of the agent-based services is following the idea to characterize all enterprise members and components by their functions and to represent them by sets of services provided by them. The main contributions of the paper are (1) to show that a role's information demand is relevant for service configuration, (2) to present a way of extracting information demand from enterprise models, and (3) to extend an approach for SOA-based enterprise representation with information demand.