[AISWorld] Real-World Objects in Business Process Mgt. Systems [Workshop CfP]

[Claudio Di Ciccio]

CALL FOR PAPERS
3RD WORKSHOP ON THE ROLE OF REAL-WORLD OBJECTS IN BUSINESS PROCESS 
MANAGEMENT SYSTEMS (RW-BPMS 2017)

To be held in conjunction with EDOC 2017
10th of October 2017, Québec City, Canada

**** Submission deadline: 7 May 2017 ****

https://ai.wu.ac.at/rw-bpms2017/

SCOPE
The increased availability of sensors disseminated in the world has lead 
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.

TOPICS OF INTEREST
Relevant topics include, but are not limited to:
(1) Real-world objects in decision making, support and process mining
     -    Execution/deployment challenges for 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
     -    Process control based on real-world objects
     -    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
(2) 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
(3) 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
(4) General view on real-world objects in BPMS
     -    Empirical research on the integration of real-world objects in 
BPMS
     -    Case studies on the integration of real-world objects in BPMS
     -    Best practice for the integration of real-world objects in BPMS
     -    Vision papers on the integration of real-world objects in BPMS


SUBMISSION GUIDELINES
Prospective authors are invited to submit papers on any of the topics of 
the workshop. Papers must be written in English as full research paper 
(8 pages) or short papers (position paper, work in progress, software 
demonstration; max. 5 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.

IMPORTANT DATES
Paper submission:
         May 7, 2017
Paper notification:
         July 16, 2017
Camera ready:
         August 1, 2017
Workshop date:
         October 10, 2017

WORKSHOP CHAIRS
Claudio Di Ciccio (Vienna University of Economics and Business, Austria)
Anne Baumgraß (Conclutec UG, Germany)
Rik Eshuis (Eindhoven University of Technology, The Netherlands)
Raphaël Khoury (Université du Québec à Chicoutimi, Canada)

Please contact the chairs at rw-bpms at ai.wu.ac.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, Karlsruhe Institute of Technology, Germany
Agnes Koschmider, University of Stuttgart, 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