摘要
1 Introduction Today’s business process management (BPM)systems have evolved to provide rich and sophisticated tooling and runtime support for subject
1 Introduction
Today＇s business process management （BPM） systems have evolved to provide rich and sophisti- cated tooling and runtime support for subject domain experts, business analysts, development, and information technology （IT）. However, the evolution of BPM systems led to a jungle of different representation formats for the various artifacts in such systems. These include models for value chains, strategies, goals, and objectives on the analysis side, business process models, organizational data and service models, and finally models for the implementation of a BPM system to a runtime infrastructure. In many systems, the complex relationships between the enti- ties of a BPM system are vaguely documented, let alone be formalized in a machine readable way. This is where semantic technologies kick in： to provide the foundation for formalizing the complex relationships of a business in a common model using Web Ontology Language （OWL） ontologies. This avoids information silos and enables a holistic view to a BPM system using SPARQL.
