Call for Papers

Topic

The workshop on Event Modeling and Processing in Business Process Management (EMoV2015) is aiming on problem statements, solution proposals and future development perspectives in the area of conceptual modeling of events in business process models, specifications for event-processing in business processes including event-based process execution, and business intelligence analysis of events in relation to business processes. The workshop focuses on (executable) models and the dynamic interaction of process executions based on events and the compliance of these executions and their model specification. EMoV2015 is targeting on new model paradigms, model extensions, execution platforms, and empirical studies in that area as well as concepts and methodologies for event-based business process execution.

Topics of Interest

Relevant topics include, but are not limited to:
  1. Models for process execution and modeling paradigms
    • Modeling information of event-driven process execution
    • Modeling reuse of processes, process data, and event information
    • Verification of event information in process models or scenarios
    • Modeling of compensation, error handling, and recovery options in process models
    • Modeling of multiple views on event-driven business processes and their correlation
  2. Modeling paradigms and model extensions
    • Transformation of process models between various modeling paradigms
    • Model extensions to consider process execution information
    • Modeling of event-based conditions in business processes
    • (Meta-) Model extensions to consider event information for business process modeling and big data analytics in BPM
    • Activity life cycles and their role for modeling and recognition of events
  3. Dynamic processes
    • Modeling of relationships between business processes based on events (composition, cancellation, triggering, etc.)
    • Methods to dynamically (re-) use processes, process data, and events in various process scenarios (during process execution)
    • Dynamic compensation, error handling, and recovery of process data after the occurrence of specific events
    • Real-time knowledge representation in business processes
  4. Process execution platforms
    • Integration of event processing with business process models and business process execution
    • Event dissemination in business process execution environments and event-driven process execution
    • Dynamic processes in the context of (event-driven) service-oriented architectures
    • Sensor technologies, big process execution data and distributed event sources in BPM
  5. Process Monitoring and Analysis
    • Process tracing and monitoring and process performance analysis based on structured, semi-structured as well as unstructured data
    • Business process improvement and innovation
    • Analysis of big process execution data and event-based process compliance
    • Big data processing for anomaly detection and predictive analytics
  6. Empirical studies
    • Approved techniques and methods for business process modeling and their event-driven execution
    • Case studies of business process modeling and their event-driven execution
    • Experience reports on business process modeling and their event-driven execution

Submission Guidelines

Papers can be submitted in English as full research paper (max. 10 pages) or short paper (position paper, work in progress; max. 6 pages). The length of the paper must not exceed the mentioned limits including all references and appendices. Papers must contain original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Each submission is reviewed by at least three experts.

Submitted papers must follow the LNCS guidelines. Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site by the deadlines indicated below. Accepted workshop papers are published as a single volume of Springer LNCS to be distributed at the ER 2015 conference.