An outlook on semantic business process mining and monitoring

作者: A. K. Alves de Medeiros , C. Pedrinaci , W. M. P. van der Aalst , J. Domingue , M. Song

DOI: 10.1007/978-3-540-76890-6_52

关键词: Software engineeringKnowledge managementBusiness process managementSemantic WebBusiness process discoveryComputer scienceBusiness process modelingBusiness intelligenceProcess miningArtifact-centric business process modelBusiness process

摘要: Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Web and Services (SWS) technologies in order to increase enhance the level automation that can be achieved within life-cycle. In a nutshell, SBPM is based on extensive exhaustive conceptualization domain so support reasoning during business processes modelling, composition, execution, analysis, leading important enhancements throughout life-cycle processes. An step analysis deployed companies. This provides feedback about how these are actually being executed (like common control-flow paths, performance measures, detection bottlenecks, alert approaching deadlines, auditing, etc). The use semantic information lead dramatic state-of-the-art techniques. this paper we present outlook opportunities challenges process mining monitoring, thus paving way for implementation next generation tools.

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