The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) invites submissions across several categories: Papers, Workshops and Tutorials, and Posters and Demos. This year, we are excited to announce our special theme: Knowledge in the Age of Language Models (LMs).
⚠Some dates were updated as of 14/05/2024. Check them below or in our Important dates page to be updated. Downloadable .ics files were updated as well.
Call for Papers
We welcome research articles that focus on the integration of Knowledge Engineering and Management with Language Models. Submissions should explore algorithms, tools, methodologies, and applications that highlight the synergy between knowledge and LMs, advancing our understanding of their mutual influence in the fields of knowledge acquisition and engineering.
Abstract Submission Deadline:
Full Paper Submission Deadline:
Notification of Acceptance:
Camera Ready Deadline:
Conference Days:
Call for Workshops and Tutorials
Proposals for workshops and tutorials should provide interactive and focused platforms where participants can discuss and explore innovative ideas about Knowledge Engineering and Knowledge Management, particularly in relation to our special theme. Proposals should emphasize collaborative learning and the exchange of ideas between scholars and practitioners.
Workshop/Tutorial Website Deadline:
Workshop Papers Submission Deadline:
Workshop Papers Notification:
Workshop Papers Camera-Ready Deadline:
Workshop/Tutorial Day:
Call for Posters and Demos
We encourage submissions that demonstrate new technologies, systems, or methodologies in Knowledge Engineering and Knowledge Management. Contributions should clearly relate to the special theme, showcasing practical implementations or innovative concepts influenced by Language Models.
P&D Submission Deadline:
Notification of Acceptance for Posters and Demos:
P&D Camera-Ready Deadline:
All submissions must establish a clear link to Knowledge Engineering and Knowledge Management, demonstrating significant impacts or contributions to the field. While interdisciplinary approaches are recognized, contributions lacking direct relevance will not be considered.