RW-BPMS 2017

3rd Workshop on the Role of
Real-world objects
in Business Process Management Systems In conjunction with EDOC 2017

Workshop: , Québec City, Canada
Submission deadline: [extended]


Theme and goal

The increased availability of sensors disseminated in the world has led to the possibility to monitor in detail the evolution of several real-world objects of interest. GPS receivers, RFID chips, transponders, detectors, cameras, satellites, etc. concur in the depiction of the current status of monitored things. Therefore, the opportunity arose to connect physical reality to digital information. The screening of real-world objects lets sensors be the interface towards real-world information, as they are the originators of machine-readable events. The exploitation of such knowledge is leading to successful applications such as Smart Cities, Flight Monitoring, Pollution Control, Internet of Things, and Dynamic Manufacturing Networks.

The amount of information at hand could be leveraged for a fine-grained monitoring, mining, and decision support for business processes, stemming from the joint observation of business-related objects in the real world. However, the main focus of process and data analysis in Business Process Management (BPM) still lies at a high level of abstraction, such as activities’ status, and is based on digital-to-digital information, such as information systems’ data- and activity-centric logs. Furthermore, a limited investigation from the BPM community has been evinced towards the physical-to-digital bridge so far. Such a bridge would be naturally provided by rethought information systems, where the knowledge extracted from real-world objects would best depict the contingencies and the context in which business processes are carried out. At the same time, awareness of physical reality for undertaken actions would allow for a better control over the interaction that the Business Process Management Systems (BPMSs) have with the real world.

The objective of the RW-BPMS workshop is therefore to attract novel research and industry approaches investigating the connection of business processes with real-world objects monitoring. Conceptual, technical and application-oriented contributions are pursued within the scope of this theme.

Download the Call for Papers


Relevant topics include, but are not limited to:

Real-world objects in decision making, support and process mining

  • Execution/deployment challenges for Business Processes (BPs) that include sensors
  • Using real-world objects monitoring for business process execution and control
  • Integration of data from real-world objects in BPM applications
  • Mixed physical-digital events correlation and aggregation
  • Mining mixed physical-digital events
  • Continuous mining of real-world events for running processes
  • Case identification from sensor data
  • Event log extraction from sensor data

Real-world objects in business process modeling

  • Modeling challenges to combine static information of business process execution and continuously updated information of real-world objects
  • Support for decision making based on sensor data for the business process execution
  • Requirement analysis for integrating real-world objects monitoring with business process monitoring
  • Opportunities of modeling sensor data in business process models
  • Inclusion of real-world information for the visualization of current process status
  • Novel visual representations for mixed physical-digital evolution of processes
  • Modeling flexibility for business process management involving real-world object interactions
  • Real-world objects status compliance to the business model
  • Compliance of the business model to the status evolution of real-world objects
  • Defining constraints on real-world objects in business process modeling

Process adaptivity and prediction based on real-world objects

  • Opportunities of mining sensor data to model business processes
  • Opportunities of mining sensor data to control the execution of business processes
  • Monitoring real-world objects to predict business process execution (e.g. duration of tasks)
  • Mixed physical-digital data aggregation in event analysis
  • Real-world-event driven process adaptation
  • Studies on the effects of process enactments on the real world

General view on real-world objects in BPMSs

  • Empirical research on the integration of real-world objects in BPMSs
  • Case studies on the integration of real-world objects in BPMSs
  • Best practice for the integration of real-world objects in BPMSs
  • Vision papers on the integration of real-world objects in BPMSs

Paper submission

Submission guidelines

Prospective authors are invited to submit papers on any of the topics of the workshop. Papers must be written in English. The following types of submission are accepted:

  • full research papers and experience papers (max. 8 pages),
  • short papers (position paper, work in progress, software demonstration; max. 5 pages).

For the camera ready version, authors are allowed to buy up to 2 extra pages.

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 in this field.

Submitted papers must follow the IEEE Computer Society Conference Proceedings Format Guidelines . Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site ( by the deadlines indicated below.

Accepted papers will be published in a second volume of the EDOC 2017 conference proceedings. At least one author of each accepted paper must register for the workshop and present the paper. Registration is subject to the terms, conditions and procedure of the main EDOC 2017 conference to be found on its website.

Download the Call for Papers

Important dates

Manuscript submission

AoE [extended]

Notification of acceptance

Camera-ready version




Contact the chairs at the following email address: rw-bpms [at] ai [dot] wu [dot] ac [dot] at

Program Committee

  • Mehdi Adda, Université du Québec à Rimouski, Canada
  • Marco Aiello, University of Groningen, The Netherlands
  • Daniel Beverungen, University of Münster, Germany
  • Antonio Bucchiarone, Fondazione Bruno Kessler, Italy
  • Cristina Cabanillas, Vienna University of Economics and Business, Austria
  • Paolo Ceravolo, University of Milan, Italy
  • Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands
  • Schahram Dustdar, Vienna University of Technology, Austria
  • Selim Erol, Vienna University of Technology, Austria
  • Ylies Falcone, Université de Grenoble Alpes, France
  • Fabiana Fournier, IBM Research Haifa, Israel
  • Paul Grefen, Eindhoven University of Technology, The Netherlands
  • Sylvain Hallé, Université du Québec à Chicoutimi, Canada
  • Christian Janiesch, University of Würzburg, Germany
  • Agnes Koschmider, Karlsruhe Institute of Technology, Germany
  • Abdelwahab Hamou-Lhadj, Concordia University, Canada
  • Francesco Leotta, Sapienza University of Rome, Italy
  • Fabrizio Maria Maggi, University of Tartu, Estonia
  • Andrea Marrella, Sapienza University of Rome, Italy
  • Massimo Mecella, Sapienza University of Rome, Italy
  • Pierluigi Plebani, Politecnico di Milano, Italy
  • Estefanía Serral Asensio, KU Leuven, Belgium
  • Andreas Solti, Vienna University of Economics and Business, Austria
  • Mark Strembeck, Vienna University of Economics and Business, Austria
  • Chamseddine Talhi, École Polytechnique de Montréal, Canada
  • Roger Villemaire, Université du Québec à Montréal, Canada
  • Barbara Weber, University of Innsbruck, Austria
  • Matthias Weidlich, Humboldt-Universität zu Berlin, Germany