BP-Meet-IoT

8th International Workshop on BP-Meet-IoT
(affiliated with BPM 2024)

The arrival of the Internet of Things (IoT) has put into play a huge amount of interconnected and embedded computing devices with sensing and actuating capabilities that are revolutionizing the way we manage business processes. While IoT actuators can be used for process task automation, sensors can be used to collect real time data that can create unprecedent opportunities for discovering and exploiting new process insights, e.g., for timely diagnosis of process executions, efficient process prediction or to gain improvements into systems. As such, the incorporation of IoT into the Business Process Management (BPM) field will allow the development of business processes with higher levels of flexibility, efficiency, and responsiveness, providing as a result a better support to the evolving business requirements. Furthermore, the proper combination of these two fields can foster the development of innovative solutions not only in the business domain where the BPM emerged, but also in many different application areas in which the IoT can be applied (e.g., smart cities, smart factories, smart homes, smart agriculture, or e-health). While the integration of IoT and BPM has plenty of potential, it also imposes many challenges that need to be addressed.

BP-Meet-IoT wants to attract novel research at the intersection of these two areas by bringing together practitioners and researchers from both communities that are interested in making IoT-based business processes a reality. BP- Meet-IoT will discuss the current state of ongoing research, industry needs, future trends, and practical experiences by welcoming two types of contributions:

  1. Articles presenting original research on topics such as:
    • Modeling IoT-aware business processes
    • Dealing with context in IoT-aware business processes
    • Privacy and security in IoT-aware business processes
    • Connection of analytical processes with IoT
    • Dealing with unstructured environments
    • Specifying the autonomy level of IoT things
    • Improving resource monitoring and quality of task execution
    • IoT and ubiquitous technologies supporting BPM
    • Sensor-based task management in BPM
    • Business examples of IoT technologies applied to ubiquitous BPs
    • IoT log preprocessing techniques
  2. Reports presenting a solution to address an IoT process mining challenge. We want to foster also a more practical-point-of-view solutions provided for real scenarios. For this purpose, we also accept submissions that deal with the mining of a sensor event log of a smart environment (e.g., home, office, factory, retail store, warehouse, etc.). Although we provide a possible dataset (link), we welcome solutions that can obtain interesting insights from any sensor log the authors may possess. The solution can analyze the sensor log using whatever techniques available, in order to find processes executed in the smart environment. We strongly encourage participants to use any available tool, technique, or method to solve the IoT process mining challenge.

Manifesto

Some of the topics pointed out in this workshop have been already discussed in the manifesto entitled "The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges”. This manifesto has been published by the organizers of this workshop together with the growing up BPM-IoT community as a result from the "Fresh Approaches to Business Process Modeling"(16191) seminar held in Dagstuhl in May 2016.

Location

  • Coffee and lunch brakes will take place at (TBD)
  • Workshop sessions will take place at (TBD)

Program

TBD

Important Dates

  • Paper & Challenge submission deadline: June 7, 2024
  • Authors notification: July 5, 202
  • Camera-ready: July 19, 2024
  • Workshop date: September 2, 2024

Submissions

Manuscripts (research and industrial papers) submission

Articles should be no longer than 12 pages including references, figures and tables. The title page must contain a short abstract and a short list of keywords. Relevant members of the international community working on IoT and BPM topics will review all submissions. Each paper will be reviewed by 3 PC members in order to guarantee that only high-quality papers are accepted.

Reports submission: solutions to an IoT process mining challenge

Reports should be no longer than 25 pages, including references, figures and tables. The title should clearly mention that the submission is for the Challenge. Reports are judged on the originality and completeness of the analysis as well as on the usefulness of the results. An expert jury will select the best three papers (out of the submitted ones), which then will be evaluated by the audience. The selected reports should be presented at the workshop (having a registered participant) through a poster. On the basis of the committee reviews and the opinion of the workshop audience, a winner will be selected, who will receive a prize certificate.

Both kind of submissions must be formatted in accordance with the LNCS/LNBIP format specified by Springer (available for both LaTeX and MS Word) and should be submitted electronically through EasyChair by selecting the 7th International Workshop on Business Processes Meet the Internet-of Things track.

Publication & Registration

All the workshop papers will be published by Springer as a post-proceeding volume (to be sent around 4 months after the workshop) in their Lecture Notes in Business Information Processing (LNBIP) series. It is mandatory that at least one author will register and present the paper during the workshop.

Program Committee (TBC)

  • Adrian Mos, Naver LABS, Grenoble, France
  • Andrea Delgado, INCO, Universidad de la República, Uruguay
  • Andreas Oberweis, Karlsruhe Institute of Technology, Germany
  • Felix Mannhardt, SINTEF Digital, Norway
  • Jochen De Weerdt, KU Leuven, Belgium
  • Jianwen Su, University of California at Santa Barbara, USA
  • Luise Pufahl, TU Munich, Germany
  • Mathias Weske, Hasso-Plattner-Institut at the University of Potsdam, Germany
  • Pnina Soffer, University of Haifa, Israel
  • Ronny Seiger, University of St. Gallen, Switzerland
  • Udo Kannengießer, Compunity GmbH, Germany
  • Vicente Pelechano, Universitat Politècnica de València, Spain
  • Yannis Bertrand, KU Leuven, Belgium
  • Zakaria Maamar, Zayed University, Dubai, UAE