Optimization and Validation of eGovernment Business Processes with Support of Semantic Techniques

Abstract

E-government aspires to improve the quality of public services delivery, improving efficiency, effectivity and accessibly applying IT advanced methodologies and technologies. However, there are a lot of challenges that needs to be addressed in order to enable a full adoption of state of art solution in public administration. This preliminary study aims at proposing the design of semantic-based Decision Support System that helps some of the core actors in adoption of such solutions in e-government processes. The methodology relies on semantically annotated BPMN (Business Process Model Notation) and on inferential engines to support e-government processes re-engineering and optimization and e- government validation. The study will focus on the EU and Italian regulation and processes, in order to have as a reference real-world problems.