Publikation
Real-Time Semantic Process Change Impact Analysis
Andreas Emrich; Dirk Werth; Peter Loos
In: Wolfgang Lehner; Gunter Piller (Hrsg.). Innovative Unternehmensanwendungen mit In-Memory Data Management 2011. Innovative Unternehmensanwendungen mit In-Memory Data Management (IMDM-11), December 2, Mainz, Germany, Pages 91-100, Springer, 2011.
Zusammenfassung
Todays environment and business is constantly changing on a rapid
pace. Models have to be adapted in order to fit the changing situations. In contrast,
the complexity of enterprise models is a huge problem wrt the management of such
complex models. High-performance computing technologies offer a great
opportunity to leverage increased computational power to cope with that
complexity. In this paper we will present an approach for determining the impact
of process changes using a semantic context model for BPM that enables semantic
querying on complex business process models. Based on this context models large
ontologies such as Cyc and process repositories such as the MIT process handbook
are queried in complex scenarios of our evaluation. In-memory databases such as
Couch DB and Hadoop serve as technological basis for this evaluation. The paper
concludes that such queries can be performed nearly in real-time.