Process model adaptation using semantic technologies

Modeling and executing business processes with the help of software requires so much human work that the software life-cycles can not keep up with the fast changing demands of today's global markets. Therefore, a mechanism is required to adapt these process models automatically. In this paper we introduce a novel approach for the adaptation of existing process models using semantic technologies, thereby building on semantic annotation of process models as well as on automatic planning approaches.