[AISWorld] Call for Papers „Knowledge Graphs for Semantics-driven Systems Engineering“ Workshop at CAiSE2023

[Prof. Dimitris Karagiannis]

Call for Papers for KG4SDSE Workshop at CAiSE2023
https://www.omilab.org/activities/events/caise2023_kg4sdse/

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 to 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.

Relevant topics:
- Information Systems engineering methods based on Knowledge Graphs
- Application scenarios for Knowledge Graphs
- Knowledge Graphs as mediators between data, stakeholders and software
- Knowledge Graphs for model-driven engineering
- Linking, transforming or augmenting domain-specific models with 
Knowledge Graphs
- Knowledge Graphs informed by system theories and system engineering 
conceptualizations
- Machine reasoning for Information Systems engineering
- The convergence of Deep Learning, Knowledge Graphs, and systems 
engineering
- Knowledge Graph embeddings and graph neural networks
- Requirements engineering based on Knowledge Graphs
- System design and analysis augmented by Knowledge Graphs
- Knowledge Graphs for Digital Twins and digital-first artifacts
- Human-oriented low-code Knowledge Graph building
- Empirical studies and experience reports on Knowledge Graph-based 
information systems

Various stages of research maturity can be reported in the workshop 
contributions - from position and vision papers to experience reports 
and full research papers.
All accepted papers will have to be presented in person by one 
registered author. Accepted papers that will not be presented will be 
removed from the workshop proceedings.

Important dates:
- Submission Deadline: 07 March 2023
- Decision Notification: 04 April 2023
- Workshop: 12/13 June 2023
Submission link: (pick the KG4SDSE workshop from the tracks listed 
there): https://easychair.org/my/conference?conf=caise2023

Workshop Chairs:
Robert Buchmann, Babeș-Bolyai University, Romania
Dimitris Karagiannis, University of Vienna, Austria
Dimitris Plexousakis, Institute of Computer Science, FORTH and 
University of Crete, Greece

Web Presence Chair:
Iulia Vaidian, University of Vienna, Austria, OMiLAB

Workshop Program Committee
Please check the workshop's webpage for updated list: 
https://www.omilab.org/activities/events/caise2023_kg4sdse/


-- 
o. Univ.-Prof. Prof.h.c. Dr. Dimitris Karagiannis
Tel: (+43) 1 / 4277 78910, Fax: (+43) 1 / 4277 878910
e-mail: dk at dke.univie.ac.at
http://www.dke.univie.ac.at

University of Vienna
Research Group Knowledge Engineering

Waehringerstrasse 29
1090 Vienna, Austria

Oskar-Morgenstern-Platz 1
1090 Vienna, Austria