BIR-WS 2023
BIR 2023 Workshops and Doctoral Consortium

Table of Contents

• Preface
  Summary: Out of 36 initial submissions, this volume contains a total of 17 regular papers and 7 short papers presented on the Workshops and Doctoral Consortium Day at BIR 2023. BITA received 11 submissions and accepted 3 regular papers and 4 short papers. OMiLAB-KNOW received 12 submissions and accepted 7 regular papers and 1 short paper. ManComp received 4 submissions, accepting 3 regular papers and 1 short paper. B4TDS received 3 submissions accepting, 1 regular paper. The Doctoral Consortium received 6 submissions and included in the proceedings 3 regular papers and 1 short paper.

BITA 2023

• ISMS in small public sector organisations: requirements and design of a procedural approach 1 - 10
  Frank Moses, Kurt Sandkuhl
• Exploring the role of aggregators in the ecosystem of energy flexibility 11 - 22
  Amirhossein Gharaie, Björn Johansson
• Workflow optimization at financial institutions: survey and case study 23 - 33
  Oskars Rodiņš
• Workplace safety know-how: enhancing workplace safety through the capability driven solution 34 - 43
  Ruta Pirta-Dreimane, Ralfs Matisons
• Business intelligence in wearable health: transforming smartwatch data into actionable insights 44 - 54
  Avnish Singh Jat
• A Methodological approach for ontology-based meta-modelling 55 - 64
  Emanuele Laurenzi
• Orchestrating progression of enterprise data into actionable intelligence using conceptual modelling 65 - 74
  Vasile Ionut-Remus Iga, Ana-Maria Ghiran, Cristina-Claudia Osman

ManComp 2023

• Handling variability of maritime IT solutions 75 - 83
  Umut Kandemir, Marite Kirikova
• Generic requirements template for data analytics 84 - 93
  Aritha Kumarasinghe, Marite Kirikova
• Variability modelling in enterprise architecture management – survey on existing approaches 94 - 107
  Ahmed Dehne, Kurt Sandkuhl
• Constraint based modeling according to reference design 108 - 121
  Erik Heiland, Peter Hillmann, Andreas Karcher

OMILAB-KNOW 2023

• Semantically annotated learning paths 122 - 130
  Charline Unternährer, Knut Hinkelmann, Sandra Schlick
• Using the fractal enterprise model for analyzing and predicting effects from introducing IT solutions 131 - 144
  Giorina Maratsi, Ilia Bider
• Comparison of general-purpose and domain-specific modelling languages in the IoT domain: A case study from the OMiLAB community 145 - 157
  Arianna Fedeli, Nils Beutling, Emanuele Laurenzi, Andrea Polini
• MIoTA: Modeling IoT applications for air conditioning facilities with ADOxx 158 - 168
  Benjamin Nast, Kurt Sandkuhl, Stefan Paulus, Heiko Schiller
• A modeling method for strategic design of induced semantic digital nudging 169 - 181
  Ștefan Uifălean, Robert Andrei Buchmann
• Advancing the BPMN 2.0 standard with an extended animated notation: a research program for token-based process modeling education 182 - 194
  Ilia Maslov, Stephan Poelmans
• Bridging haptic design thinking and cyber-physical environments through digital twins using conceptual modeling 195 - 208
  Alexander Völz, Christian Muck, Danial M. Amlashi, Dimitris Karagiannis
• Towards a democratic AI-based decision support system to improve decision making in complex ecosystems 209 - 223
  Robert Woitsch, Christian Muck, Wilfrid Utz, Herwig Zeiner

B4TDS 2023

• A tool to easing the configuration and deploying process of Hyperledger Fabric 224 - 234
  Domenico Cantone, Daniele Francesco Santamaria, Vincenzo Spinello

Doctoral Consortium 2023

• Reimagining open data ecosystems: a practical approach using AI, CI, and knowledge graphs 235 - 249
  Umair Ahmed
• Open data co-creation, a path for better public services 250 - 256
  Héctor Ochoa-Ortiz
• Applying management theories as a conceptualization lens for knowledge graphs and conceptual modeling methods 257 - 270
  Andrei Chis
• Technical aspects for inclusiveness across user domains in data portals 271 - 280
  Abdul Aziz