[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
10h 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
Pierluigi Plebani, Politecnico di Milano, Italy
Daniel Beverungen, University of Münster, Germany
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
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