5th International Workshop on BP-Meet-IoT (BP-Meet-IoT)

 

http://pros.webs.upv.es/sites/bp-meet-iot2021/

co-located with BPM 2021

 

The Business Process Management (BPM) discipline, as it is known today, emerged as the result of significant advances

experienced since mid-1990s in business methods, tools, standards, and technology. Since then, this discipline

has significantly evolved but mainly focused on the business domain with the objective of helping organizations

to achieve their goals. However, 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 our way of living.

The incorporation of this technology into the BPM field will allow the development of business process with higher levels of flexibility,

efficiency, and responsiveness, providing as a result a better support to the evolving business requirements.

In addition, 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 agriculture, or e-health).

While the incorporation of IoT technology into the BPM field has plenty of potentials, it also imposes a set of challenges that

need to be addressed. In particular, research is necessary for addressing questions such as:

• Which is the impact of introducing IoT technology into the BPM lifecycle?

• How the top-down and bottom-up paradigms in which BPM and IoT rely respectively can coexist and benefit each other when merged?

• How to bridge the abstraction gap between low-level (sensor data) and high- level events?

• How BPM will deal with the changing nature imposed by IoT technology?

• How real-time communication and collaboration required in IoT systems will be supported by BPM?

• How to consider privacy aspects into data captured by IoT devices and analyzed with BPM?

The objective of this workshop is twofold. On the one hand we want 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.

The topics of the workshop include, but are not limited to:

• 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

On the other hand, we want to foster also a more practical-point-of-view solutions provided for real scenarios.

For this purpose, we propose also to raise two challenges, namely an IoT-aware BP modelling challenge and an IoT process mining challenge.

• The IoT-aware BP modelling will consist of exploring solutions in which different modeling approaches are challenged with respect

to the degree in which IoT is included in the modeling practice and language as “first class” citizens. Based on a given scenario

(heavily based on IoT tasks and sensing/actuation, e.g., smart manufacturing processes), participants will be asked to propose and/or

reuse existing modeling approaches and to demonstrate their effectiveness. An expert jury will select the best three modelling techniques

(out of the submitted ones), which then will be evaluated by the audience.

• The IoT process mining challenge provides participants with a sensor event log of a smart environment (e.g., home, office, factory,

retail store, warehouse, etc.) containing various contextual attributes (e.g., timestamp, sensorID, sensorType, sensorLocation, and value).

The challenge requires to analyze these data, using whatever techniques available, in order to find processes of the inhabitants/workers in the environment. An expert jury will select the best three techniques (out of the submitted ones), which then will be evaluated by the audience.

 

For both challenges, we strongly encourage to use any available tool, technique, or method. Participants to the challenge will have to present

a paper describing their solution and to present it during the workshop.

The winner of each challenge will receive a prize certificate. We aim as well to have a special issue in a journal, consisting of the winners

of the challenges and the best paper of the workshop.

 

Important Dates

----------------------------------

• Paper submission deadline: May 24, 2021

• Authors notification: June 24, 2021

• Camera-ready: July 12, 2021

• Workshop date: September 6, 2021

 

Submission & Registration

----------------------------------

Manuscripts should be no longer than 12 pages including references, figures and tables and must be formatted in accordance with the LNCS/LNBIP

format specified by Springer (available for both LaTeX and MS Word).

The title page must contain a short abstract and a short list of keywords. Papers should be submitted electronically through easychair by

selecting the 5th International Workshop on Business Processes Meet the Internet-of Things track.

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.

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.

 

The best papers in the workshop will be invited to a special version of Enterprise Modelling and Information Systems Architectures (EMISAJ)

– International Journal of Conceptual Modelling.

 

Reports for the BP-meets-IoT Challenge

----------------------------------

The submitted reports are judged on their level of professionalism and originality of the results.

The participants are expected to report on a broad range of aspects. The reports will be judged on their completeness of

analysis and usefulness for the purpose of a real-life smart environment. Submissions should be made through EasyChair at where you

indicate your submission to be a BP-Meet-IoT submission. A submission should contain a pdf report of at most 25 pages, including figures,

using the LNCS/LNBIP format specified by Springer (available for both LaTeX and MS Word). The title should clearly mention the submission

is for the Challenge. Appendices may be included, but should only support the main text. All reports submitted should be presented at the workshop

(having a registered participant) through a poster. The committee will review the report and select the three best ones to have a presentation

of their approach and answer the audience questions in a specific session of the workshop. On the basis of the committee reviews and the opinion

of the workshop audience, the winner will be selected.

 

Workshop Organizers

----------------------------------

• Agnes Koschmider (Kiel University)

• Francesco Leotta (Sapienza Università di Roma)

• Estefanía Serral (Leuven Institute for Research on Information Systems)

• Victoria Torres (Universidad Politécnica de Valencia, Spain)

 

Tentative PC

----------------------------------

Andrea Delgado, INCO, Universidad de la República, Uruguay

Andreas Oberweis, Karlsruhe Institute of Technology, Germany

Christian Janiesch, University of Wurzburg, Germany

Claudio di Ciccio, Sapienza Università di Roma, Italy

Faruk Hasic, KU Leuven, Belgium

Felix Mannhardt, SINTEF Digital, Norway

Francisco Ruiz, University of Castilla-La Mancha, Spain

Giancarlo Fortino, Università della Calabria, Italy

Jianwen Su, University of California at Santa Barbara, USA

Manfred Reichert, University of Ulm, Germany

Matthias Weidlich, Humboldt-Universität zu Berlin, Germany

Mathias Weske, Hasso-Plattner-Institut at the University of Potsdam, Germany

Pnina Soffer, University of Haifa, Israel

Sylvain Cherrier, University Marne-la-Vallée, France

Selmin Nurcan, Universite Paris 1-Pantheon-Sorbonne, France

Udo Kannengießer, Compunity GmbH, Germany

Vicente Pelechano, Universitat Politècnica de València, Spain

Zakaria Maamar, Zayed University, Dubai, UAE

 

--------------------------------------------

Prof. Dr. Agnes Koschmider

Christian-Albrechts-Universität zu Kiel

AG Wirtschaftsinformatik (Process Analytics)

Hermann-Rodewald-Str. 3

24118 Kiel

Telefon: +49 431 880-6387