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KG4SDSE@CAiSE 2023 : 1st Workshop on Knowledge Graphs for Semantics-driven Systems Engineering @ CAiSE 2023 | |||||||||||||
Link: https://www.omilab.org/activities/events/caise2023_kg4sdse/ | |||||||||||||
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Call For Papers | |||||||||||||
We invite submissions to the CAiSE 2023 workshop on Knowledge Graphs for Semantics-driven Systems Engineering. The paper submission deadline is March 7, 2023. Submission guidelines available at https://www.omilab.org/activities/events/caise2023_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. 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 We invite two types of paper contributions: - Full papers which can be regular research or experience papers (12 pages) - Short papers which can be position or vision papers (6 pages) Since we plan have the accepted papers in CAiSE’s LNBIP volume for workshops, formatting must comply with the Springer proceedings guidelines available at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Workshop Chairs - Robert Buchmann, Babeș-Bolyai University, Romania (robert.buchmann@ubbcluj.ro) - Dimitris Karagiannis, University of Vienna, Austria (dk@dke.univie.ac.at) - Dimitris Plexousakis, Institute of Computer Science / FORTH and University of Crete, Greece (dp@ics.forth.gr) Web Presence Chair Iulia Vaidian, University of Vienna, Austria (iulia.vaidian@omilab.org) Workshop Program Committee - Shqiponja Ahmetaj, Technical University of Vienna, Austria - 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 - Frederik Gailly, Ghent University, Belgium - 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 - Steffen Staab, University of Stuttgart, Germany - Takahira Yamaguchi, Keio University, Japan |
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