RW-BPMS 2015

1st Workshop on the Role of
Real-world objects
in Business Process Management Systems In conjunction with CAiSE'15

, Stockholm, Sweden

About RW-BPMS

Theme and goal

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 makes indeed sensors 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 would consent 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

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. 12 pages),
  • short papers (position paper, work in progress, software demonstration; max. 6 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 Lecture Notes in Business Information Processing (LNBIP) guidelines. Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site (https://easychair.org/conferences/?conf=rwbpms2015) by the deadlines indicated below.

Accepted papers will be published in the CAiSE'15 Workshop Proceedings, in a Springer LNBIP volume. At least one author of each accepted paper must register for the workshop and present the paper.

Download the Call for Papers

Important dates

Manuscript submission

Notification of acceptance

Camera-ready version

Workshop

: Read the program of the workshop

Program

Timetable

Time Event
– Welcome
Keynote: Avigdor Gal, When Processes Rule Event Streams
Sonja Meyer, Andreas Ruppen, and Lorenz Hilty, The Things of the Internet of Things in BPMN
– Break
– Francesco Leotta, Massimo Mecella, and Jan Mendling, Applying Process Mining to Smart Spaces: Perspectives and Research Challenges
Erwin Filtz, Emanuel Sanchez de La Cerda, Mathias Weber, and David Zirkovits, Factors affecting ocean-going cargo ship speed and arrival time
Tsun Yin Wong, Susanne Bülow, and Mathias Weske, Monitoring Batch Regions in Business Processes
Closing
– Lunch

Download the program

Read the program of the workshop on the dedicated page of CAiSE'15 website.

Keynote

Avigdor Gal, When Processes Rule Event Streams

The keynote speaker

Avigdor Gal is Associate Professor with the Faculty of Industrial Engineering & Management at the Technion, Haifa, Israel. His research focuses on effective methods of integrating data from multiple and diverse sources, which affect the way businesses and consumers seek information over the Internet. Prof. Gal has published more than 100 papers in leading professional journals, conferences, and books. He serves in various editorial capacities for periodicals and has helped organize professional workshops and conferences (e.g., BPM and DEBS) nearly every year since 1998. Avigdor is a member of the DEBS steering committee.

Abstract

Big Data brings with it new and exciting challenges to complex event processing. Large volumes of simple events that stream in high velocity to our processing stations from a variety of sources call for rethinking traditional methods of processing complex events. In this talk we shall explore the interesting phenomenon of event streams that are produced by processes, e.g., bus data that is governed by bus routes or real time positioning system tracking patients in an outpatient clinic. The talk shall answer some of the related interesting questions: how do we discover the rules that govern event creation? how do we use such rules to optimize complex event processing? and suggest directions for future research. The talk will be accompanied by examples of urban transportation in Dublin (the INSIGHT European project) and patient visits to Dana-Farber Cancer Institute (DFCI), a large outpatient cancer in the US.

List of accepted papers

Below the papers are listed that were accepted for publication in next CAiSE'15 Workshop Proceedings, volume number 215 of Springer LNBIP series. Accepted papers will be presented in Stockholm on in the context of CAiSE'15 framework (read the main conference program).

Authors: Sonja Meyer, Andreas Ruppen, and Lorenz Hilty The Things of the Internet of Things in BPMN

Abstract

The component “thing” of the Internet of Things does not yet exist in current business process modeling standards. The “thing” is the essential and central concept of the Internet of Things, and without its consideration we will not be able to model the business processes of the future, which will be able to measure or change states of objects in our real-world environment. The presented approach focuses on integrating the concept of the Internet of Things into the meta-model of the process modeling standard BPMN 2.0 as standard-conform as possible. By a terminological and conceptual delimitation, three components of the standard are examined and compared towards a possible expansion. By implementing the most appropriate solution, the new thing concept becomes usable for modelers, both as a graphical and machine-readable element.

Authors: Francesco Leotta, Massimo Mecella, and Jan Mendling Applying Process Mining to Smart Spaces: Perspectives and Research Challenges

Abstract

A software system managing a smart space takes, among its inputs, models of human behavior; such models are usually difficult to obtain and to validate. The employment of techniques from business process modeling and mining may represent a solution to both the problems, but a set of challenges need to be faced in order to cope with major differences between human activities and business processes. In this work we provide insights about these challenges, and propose further research activities to tackle them.

Authors: Erwin Filtz, Emanuel Sanchez de La Cerda, Mathias Weber, and David Zirkovits Factors affecting ocean-going cargo ship speed and arrival time

Abstract

Due to the high density of ocean traffic and the influence of marine weather on the route planning of vessels, as well as berth allocation in harbors, it is important to be able to predict arrival times as precise as possible. This paper shows the influence of marine weather on ship speed by analyzing publicly available ship traffic and weather data from different sources. A linear regression model is created to explain recorded ship speed in terms of certain ship properties and marine weather. The model has an adjusted R2 value of 83.98% with a significant correlation of many weather related data such as wind direction (0.211), significant wave height (0.195), peak wave period (0.133), as well as ship-related data including ship type, dead weight tonnage, and gross register tonnage. Given the variables in the model the speed of the ship could be estimated fairly well. These variables along with other factors are tested regarding their usefulness for the prediction of arrival times.

Authors: Tsun Yin Wong, Susanne Bülow, and Mathias Weske Monitoring Batch Regions in Business Processes

Abstract

Recently, batch activities have been introduced to improve the execution of business processes by collectively performing batch activities that belong to different process instances. Using traditional techniques to monitor processes with batch activities leads to inadequate representation of process instances, since monitoring is unaware of batch activities. This paper introduces an approach to monitor batch activities, which also takes into account exceptions in batch clusters at different levels of abstraction. The concepts and techniques introduced are evaluated by a prototypical implementation using real-world event data from the logistics domain.

Location

Stockholm University, DSV, Department of Computer and Systems Sciences
Borgarfjordsgatan 15
164 40 Kista, Sweden
Open the map

More information on the location can be found in CAiSE'15 dedicated page.

People

Organizers

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

Program Committee

  • Marco Aiello, University of Groningen, The Netherlands
  • Antonio Bucchiarone, Fondazione Bruno Kessler, Italy
  • Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands
  • Gero Decker, Signavio GmbH, Germany
  • Naranker Dulay, Imperial College London, United Kingdom
  • Schahram Dustdar, Vienna University of Technology, Austria
  • Selim Erol, Vienna University of Technology, Austria
  • Dirk Fahland, Technical University of Eindhoven, The Netherlands
  • Bogdan Franczyk, University of Leipzig, Germany
  • Avigdor Gal, Technion - Israel Institute of Technology, Israel
  • Paul Grefen, Eindhoven University of Technology, The Netherlands
  • Wout Hofman, TNO, The Netherlands
  • Bernhard Holtkamp, Fraunhofer, Germany
  • Christian Janiesch, Karlsruhe Institute of Technology, Germany
  • Stefan Krumnow, Signavio GmbH, Germany
  • André Ludwig, University of Leipzig, Germany
  • Fabrizio Maria Maggi, University of Tartu, Estonia
  • Andrea Marrella, Sapienza University of Rome, Italy
  • Massimo Mecella, Sapienza University of Rome, Italy
  • Jan Mendling, Vienna University of Economics and Business, Austria
  • Marco Montali, Free University of Bozen-Bolzano, Italy
  • Felix Naumann, Hasso-Plattner-Institut at the University of Potsdam, Germany
  • Frank Puhlmann, Bosch Software Innovations GmbH, Germany
  • Stefanie Rinderle-Ma, University of Vienna, Austria
  • Stefan Schulte, Vienna University of Technology, Austria
  • Pnina Soffer, University of Haifa, Israel
  • Mark Strembeck, Vienna University of Economics and Business, Austria
  • Hagen Völzer, IBM Zürich, Switzerland
  • Barbara Weber, University of Innsbruck, Austria
  • Matthias Weidlich, Imperial College London, United Kingdom
  • Mathias Weske, Hasso-Plattner-Institut at the University of Potsdam, Germany
  • Josiane Xavier Parreira, Siemens AG, Austria