Tutorials
T1: Strategic Decision Modeling
T2: Pairing Conceptual Modeling with Machine Learning
T3: Driving Digital Transformation Through Flexible and Compliant Business Processes
T4: Tutorial on Cognitive Processing of Diagrammatic Conceptual Models
Message from the Tutorial Chairs
Dear ER 2020 participants,
ER2020 tutorials have initially been planned for two hours each. We have now split each tutorial in
two parts for running them in virtual mode:
1) A set of introductory videos (up to one hour) made available in the ER2020 tutorial Youtube channel
2) An interactive session (of one hour) via Zoom.
Tutorial participants are expected to view the introductory videos before attending the interactive session of a tutorial. Each interactive session will start out with clarification questions by the attendees as to the contents of the introductory videos. After the tutorial speaker(s) have answered posed questions, further interactions between tutorial speakers and participants will depend on the specific “teaching method” planned for in the tutorial proposal (e.g., hands-on experience with tools, small exercises, thought experiments, in-depth treatment of specific tutorial topics.)
We look forward to meeting you in the interactive tutorial sessions!
João Paulo Almeida and Michael Schrefl
(Tutorial Chairs)
T1: Strategic Decision Modeling
Thursday, Nov 5, 14.45 – 15.45 CET
Prerecorded introductory videos: https://youtu.be/VZRwdJ1VT0E
Interactive session: https://tuwien.zoom.us/j/94482950735
Speaker:
- Aditya Ghose, University of Wollongong, Australia
Chairs: Michael Schrefl, João Paulo Almeida
Strategic decision modelling has not always received the attention that it deserves from the conceptual modelling community. There have been several decades of important work on goal modelling and the modelling of strategic intent (in frameworks such as i*), but strategy modelling is somewhat more complex. More recently, there have been interesting proposals that more explicitly address the needs of strategic decision modeling, such as BIM. The business process management community has also acknowledged the need to focus on decision modeling, leading to notations such as DMN. While the focus has traditionally been on the knowledge representation dimension of modelling intent, there is growing recognition of the need to develop modelling support for several critical reasoning tasks. Some of these tasks include the analysis of strategic alignment, the leveraging of enterprise know-how, the analysis of strategic resilience and robustness and the ability to learn from past experience.
This tutorial will present both a retrospective perspective on existing frameworks and prospective analysis of what remains to be done.
T2: Pairing Conceptual Modeling with Machine Learning
Thursday, Nov 5, 16.00 – 17.00 CET
Prerecorded introductory videos: https://youtu.be/kjPKKlEnyzo
Interactive session: https://tuwien.zoom.us/j/92660426362
Speaker:
- Wolfgang Maaß, German Research Center for Artificial Intelligence (DFKI), Germany
Chairs: Michael Schrefl, João Paulo Almeida
Machine learning is an exploding topic in Computer Science with impact in almost any research domain but also economic environments, social environments and private lives. Discussions have been started in the conceptual modeling community some time ago on which role conceptual modeling will play in ML projects. Research indicates that data scientists often use ad-hoc understanding of data that is used for training even complex models. We will discuss ideas for bridging both domains during early phases of ML projects but also during phases of actual ML model engineering.
Beside the use of conceptual models in ML projects, it is also worth to look into the other direction, i.e. how can machine learning be used for creating, analyzing, modifying and transforming conceptual models. This perspective shares ideas with computational linguistics as a domain that transforms unstructured data into structured data and back again.
In this tutorial, we will start with a brief introduction into machine learning technologies followed by a discussion of both perspectives.
T3: Driving Digital Transformation Through Flexible and Compliant Business Processes
Friday, Nov 6, 14.45 – 15.45 CET
Prerecorded introductory videos: https://youtu.be/DLOVK3_sz5c
Interactive session: https://tuwien.zoom.us/j/94854922124
Speakers:
- Stefanie Rinderle-Ma, University of Vienna, Austria
- Jürgen Mangler, University of Vienna, Austria
Chairs: João Paulo Almeida, Michael Schrefl
In many domains, business processes drive the digital transformation of enterprises. An example is the manufacturing domain where process orientation enables the vertical integration of systems across the levels of the production pyramid as well the horizontal integration of machines, sensors, and other resources. This also ties in with the interface of business process management and the Internet of Things. However, the use of process technology must not come at the cost of rigidity, but rather has to offer flexibility in terms of changes to single process instances and the evolution of process models. Flexibility, in turn, must not result in threats to business process compliance, i.e., the adherence of process models and instance to laws, regulations, or guidelines. Overall, keeping the balance between flexibility and control is crucial.
The tutorial explains how process technology drives digital transformation, illustrated by a real-world manufacturing scenario. Requirements and challenges imposed by business process flexibility are discussed and contrasted with requirements and challenges imposed by business process compliance.
T4: Cognitive Processing of Diagrammatic Conceptual Models
Friday, Nov 6, 16.00 – 17.00 CET
Prerecorded introductory videos: https://youtu.be/0KAiYaLMfZA
Interactive session: https://tuwien.zoom.us/j/96347631396
Speakers:
- Monika Malinova, Wirtschaftsuniversität Wien, Austria
- Jan Mendling, Wirtschaftsuniversität Wien, Austria
Chairs: João Paulo Almeida, Michael Schrefl
Conceptual models play an important role in the analysis and design of information systems. Many models being using in this context are visual diagrams as for example UML Class Diagrams, Business Process Diagrams, or Use Case Diagrams, to name just a few. The benefits of such diagrams are largely acclaimed in software engineering and information systems research; however, research on this topic is fragmented.
In this tutorial, we look at diagrams in information systems design from a holistic perspective. In the first part, we will discuss the essential characteristics of diagrams as they are frequently used in systems analysis and design of information systems. In the second part, we present findings from a recent survey that we conducted on guidelines for designing effective diagrams. This covers guidelines for effective cognitive processing of visual, verbal, semantic and task elements of diagrams.
