Traditionally, processes are modelled and discovered primarily considering their control-flow
dimension, while disregarding other key dimensions that affect the control flow, such as the data
dimension. Consequently, the resulting models are unable to suitably represent real-life,
widespread processes where behaviour arises from the complex interplay among multiple
business objects and their one-to-many/many-to-many relationships. New paradigms that
combine data and processes, such as object-centric processes, present new perspectives to the
field of business process management, but also bring new challenges.
On the one hand, object-centric processes toned to be correctly specified and modelled. Such
multi-perspective models are intrinsically difficult to analyse. This calls for a suitable trade-off
between expressiveness and feasibility of analytic techniques. In addition, object-centric models
can span a complex network containing many processes and objects. Thus, they bring great
potential to create models that cross process and organisational boundaries that current
modelling techniques impose.
On the other hand, process mining focus on the discovery and analysis of object-centric models
from event data, which poses a twofold challenge. First, the current notion of event logs fail in
representing event data for object-centric processes. Conventional event logs contain isolated
traces, whereas object-centric processes require richer, relational and graph-structured
representations of the event data. Second, novel process mining techniques and suitable event
data/log formats have to be studied so as to operate over such complex data and fully unleash
the insights hidden therein. This also brings the need to ensure that modelling constructs in
object-centric process notations can be effectively and efficiently discovered and analysed.
The main objective of this workshop is to bring together researchers from the fields of BPM and
PM who work on object-centric process to share their ideas and current research and to discuss
challenges and future directions of the field.
Topics of interest include, but are not limited to:
09:00 - 10:30
Abstract:
The classical concept of objects, known from object-oriented programming,
has gained momentum in the field of BPM in recent years.
This shift is driven by the need to represent real-world business processes,
where data is often shared across multiple processes and naturally attached
to dynamically created objects such as orders, applications, and deliveries.
The talk will discuss the combination of declarative behavioural constraints
with data and objects, and in particular present how to extend the declarative
Dynamic Condition Graphs notation and execution semantics with objects.
We will also discuss future challenges and give examples of declarative object-centric
modelling, execution and discovery for DCR Graphs, partly based on recent work on
discovery of object-centric declarative models to be presented at ICPM 2024.
Short bio:
Thomas Hildebrandt is a professor at the Department of Computer Science,
University of Copenhagen. He has a background in formal semantics of
concurrent processes and has been active in the BPM community since
more than 15 years. The most visible contribution of Thomas is his
seminal and leading role in the development of the declarative
Dynamic Condition Response (DCR) Graphs notation. DCR Graphs has
successfully made the transition from academic research to industrial
design and execution tools by DCRSolutions.net and the
NEC WorkZone
enterprise information system,
which is used on a daily basis by 70% of Denmark’s public service
and which is also also available in the UK and Australia.
11:00 - 12:30 (access to papers here)
14:00 - 15:30 (access to papers here)
16:00 - 17:30
Han van der Aa, University of Vienna, Austria
Wil van der Aalst, RWTH Aachen University, Germany
Johannes De Smedt, KU Leuven, Belgium
Rik Eshuis, Eindhoven University of Technology, The Netherlands
Dirk Fahland, Eindhoven University of Technology, The Netherlands
Ekkart Kindler, Technical University of Denmark, Denmark
Irina Lomazova, National Research University Higher School of Economics, Russia
Jan Mendling, Humboldt-Universität zu Berlin, Germany
Giovanni Meroni, Technical University of Denmark, Denmark
Jorge Munoz-Gama, Pontificia Universidad Católica de Chile, Chile
Artem Polyvyanyy, The University of Melbourne, Australia
Natalia Sidorova, Eindhoven University of Technology, The Netherlands
Monique Snoeck, KU Leuven, Belgium
Pnina Soffer, University of Haifa, Israel
Dominique Sommers, Eindhoven University of Technology, The Netherlands
Francesca Zerbato, Eindhoven University of Technology, The Netherlands
Marco Montali , Free University of Bozen-Bolzano, Italy
Andrey Rivkin, Technical University of Denmark, Denmark
Jan Martijn van der Werf, Utrecht University, The Netherlands
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