Business Process Management Applications based on Semantic Process Models: the ProcessGene Suite Case-Study
Avi Wasser (University of Haifa, Israel)
Maya Lincoln (University of Haifa, Israel)
Abstract: In recent years, Business Process Management (BPM) applications have become central enablers for the generation, customization and utilization of business processes within and between organizations. One of the central techniques for extending the span of BPM applications is Natural Language Processing (NLP). This work aggregates and reviews previous works on NLP standardization for BPM. Based on these works, we present a set of BPM applications, aiming at extending the utilization of the knowledge embedded in business process repositories. To verify the industrial deployment, we then present an extended case study that examines the feasibility of the suggested applications in real life scenarios using the ProcessGene BPM suite.
Keywords: BPM applications, business process model standardization, business process repositories, natural language processing