Call for Papers |
We invite submissions to the CAiSE 2024 workshop on Knowledge Graphs for Semantics-driven Systems Engineering. The paper submission deadline (extended) is March 3, 2024. Submission guidelines available at https://www.omilab.org/activities/events/caise2024_kg4sdse/
================================================================================ The goal of this workshop is to stimulate research and experience reports on how Knowledge Graphs can add context and flexibility to information systems, compensating for the semantic loss of system design methods or for the logical flaws of large language models, ultimately enabling semantic enrichment and reasoning capabilities in information systems 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 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 enable new flavors of model-driven engineering or low-code engineering -, as well as their interplay with Large Language Models or Machine Learning for systems engineering purposes. Various stages of research progress can be reported in the workshop contributions - from position and vision papers to experience reports and full research papers. Relevant Topics: - Systems Engineering benefits of the interplay between Knowledge Graphs and Large Language Models - Knowledge Graphs for enhancing Large Language Models or their prompting - Large Language Models for populating or refining Knowledge Graphs - 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 - 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 =================================================================================================== Workshop Chairs: Robert Buchmann ([email protected]), Babeș-Bolyai University, Romania Dimitris Karagiannis ([email protected]), University of Vienna, Austria Dimitris Plexousakis ([email protected]), Institute of Computer Science, FORTH and University of Crete, Greece Web Presence Chair: Iulia Vaidian ([email protected]), OMiLAB NPO/University of Vienna, Austria Workshop 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 Manolis Koubarakis, National and Kapodistrian University of Athens, Greece Ana León, Universitat Politècnica de València, Spain Andreas Opdahl, University of Bergen, Norway 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 ================================================================================================== Submission Guidelines Submission link (pick the KG4SDSE workshop from the tracks listed there): https://easychair.org/conferences/?conf=caise2024 We invite two types of paper contributions: - Full papers which can be regular research or experience papers (10-12 pages) - Short papers which can be position or vision papers (6-9 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 (both Word and Latex templates are available there). All accepted papers will have to be presented in person by one registered author. Accepted papers that will not presented will be removed from the workshop proceedings. Contact: [email protected] |
Summary |
KG4SDSE@CAISE 2024 : KG4SDSE@CAiSE 2024 : 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering @ CAiSE 2024 will take place in Limassol. It’s a 2 days event starting on Jun 3, 2024 (Monday) and will be winded up on Jun 4, 2024 (Tuesday). KG4SDSE@CAISE 2024 falls under the following areas: KNOWLEDGE GRAPHS, LARGE LANGUAGE MODELS, SEMANTIC WEB, CONCEPTUAL MODELING, etc. Submissions for this Workshop can be made by Mar 3, 2024. Authors can expect the result of submission by Mar 27, 2024. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 5, 2024 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the KG4SDSE@CAISE 2024
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Credits and Sources |
[1] KG4SDSE@CAISE 2024 : KG4SDSE@CAiSE 2024 : 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering @ CAiSE 2024 |