1st Workshop KG4SDSE at CAiSE2023
Knowledge Graphs for Semantics-driven Systems Engineering (Workshop@CAiSE23)
KG4SDSE Workshop Description
The goal of this workshop is to stimulate research work about how Knowledge Graphs can add context and flexibility to information systems, enabling semantic enrichment and reasoning capabilities for their operation or engineering processes.Knowledge Graphs have been primarily investigated as engineered artifacts by themselves – from their underlying formalisms (e.g. description logics), enabling technologies (e.g. RDF, LPG) to their knowledge management and semantic enrichment capabilities.
With this workshop we aim to shift focus from what Knowledge Graphs are or how they can be built towards how they can be relevant to Information Systems engineering. We also aim to investigate their place in the Conceptual Modeling paradigm, specifically how Knowledge Graphs can enable new flavors of model-driven engineering or low-code engineering. Research advances on the interplay between Knowledge Graphs and Machine Learning or Natural Language Processing for systems engineering purposes are also welcome.
Various stages of research maturity can be reported in the workshop contributions - from position and vision papers to experience reports and full research papers.
Workshop Chairs
- Robert Buchmann (robert.buchmann@ubbcluj.ro), Babeș-Bolyai University, Romania
- Dimitris Karagiannis (dk@dke.univie.ac.at), University of Vienna, Austria
- Dimitris Plexousakis (dp@ics.forth.gr), Institute of Computer Science, FORTH and University of Crete, Greece
Web Presence Chair
Iulia Vaidian (iulia.vaidian@omilab.org), University of Vienna, Austria / OMiLABWorkshop Program Committee
- Nick Bassiliades, Aristotle University of Thessaloniki, Greece
- Sjaak Brinkkemper, Utrecht University, The Netherlands
- Michael Fellmann, University of Rostock, Germany
- Hans-Georg Fill, University of Fribourg, Switzerland
- Aurona Gerber, University of Pretoria, South Africa
- Ana-Maria Ghiran, Babeș-Bolyai University, Romania
- Adrian Groza, Technical University of Cluj-Napoca, Romania
- Marite Kirikova, Riga Technical University, Latvia
- Dimitris Kiritsis, Swiss Federal Institute of Technology in Lausanne, Switzerland
- Manolis Koubarakis, National and Kapodistrian University of Athens, Greece
- Jose Emilio Labra Gayo, University of Oviedo, Spain
- Ana León, Universitat Politècnica de València, Spain
- Andreas Opdahl, University of Bergen, Norway
- Axel Polleres, Vienna University of Economics and Business, Austria
- Andrea Polini, University of Camerino, Italy
- Achim Reiz, University of Rostock, Germany
- Ben Roelens, Open University, The Netherlands
- Anisa Rula, University of Brescia, Italy
- Maribel Yasmina Santos, University of Minho, Portugal
- Alberto Rodrigues da Silva, University of Lisbon, Portugal
- Takahira Yamaguchi, Keio University, Japan
Contact
kgworkshop@omilab.orgSponsored by
and 
Registration
Please register via the organizer.
Agenda
Welcome & Keynote
09:00 - 09:20:
Welcome Message
09:20 - 10:30:
KEYNOTE - A Graph Data Model for Data Analytics and Information Integration
Coffee Break
Session 1 (Chair - Fadime Kaya)
11:00 - 11:20:
Interactive Machine Learning of Knowledge Graph-based Explainable Process Analysis
11:20 - 11:40:
Towards Recommendations for Knowledge-graph-based Requirements Management in Construction - a Report on the EU DigiChecks Project
11:40 - 12:00:
Semantic Matching through Knowledge Graphs - A Smart City Case
12:00 - 12:15:
A Weighted Knowledge Graph for Representing the Results of a Systemic Literature Review
12:15 - 12:30:
The RAI Way - A Technical Analysis and Design Method for Building Enterprise Semantic Layers
Lunch Break
Session 2 (Chair - Alexander Völz)
14:00 - 14:20:
Employing Knowledge Graphs for Capturing Semantic Aspects of Robotic Process Automation
14:20 - 14:40:
Knowledge Engineering - Formalizing DECENT Metamodel
14:40 - 14:55:
Towards Crisis Response and Intervention using Knowledge Graphs – CRISP Case Study
14:55 - 15:10:
Using Knowledge Graphs for Record Linkage - Challenges and Opportunities
15:10 - 15:25:
A Linked Data Based Advanced Credit Rationale
Coffee Break
Panel Discussion and Conclusions
16:00 - 17:00:
Expectations from Large Language Models and Deep Learning for Semantics-driven Systems Engineering
- Dimitris Plexousakis, Institute of Computer Science, FORTH and University of Crete, Greece
- Johann Eder, Alpen-Adria University Klagenfurt, Austria
- Hans-Georg Fill, University of Fribourg, Switzerland
- Ulrich Frank, Universität Duisburg-Essen, Germany
