An experience of engineering enterprise data and process knowledge

A common problem in many public and private organizations is the engineering of enterprise knowledge related to data and business processes. In the paper, we address this problem in the framework of distributed information systems of Public Administrations required to reengineer data and processes to provide integrated services to citizens. The paper presents a reference architecture where enterprise data and process knowledge is organized at a global level to achieve interoperability of applications and service providing. In the architecture, distributed data sources are unified by means of a semantic dictionary, while distributed cooperating processes are modeled as interorganizational workflows.