As a LIPIcs/OASIcs author, you will be invited by e-mail to register at the Dagstuhl Submission Server. The server will guide you through the publication workflow. Preliminary information can be found here:
Rules, ontologies and other logic-based forms of knowledge representation are increasingly used to represent and reason over graph-based data and knowledge. Such representations and reasoning processes may operate under different assumptions, may aim to represent diverse types of knowledge, may have different purposes, but all are based on the idea of capturing real-world phenomena via logic-based, machine-readable languages and processes. Such techniques are increasingly seen as a more explainable and more precise alternative to machine learning processes, and are being increasingly combined with such processes to build more reliable AI systems. - In this Special Issue, we solicit submission of original research, survey and resources articles in the scope of TGDK (graph-based data and knowledge) relating more specifically to the application of rules and logic-based reasoning processes.
Cultural Heritage (CH) and Digital Humanities (DH) research is characterized by interpretative plurality, evolving vocabularies, highly contextual knowledge, and diverse source materials. Supporting the analysis, integration, and interpretation of this complex data requires structured, machine-understandable representations and advanced computational methods. Semantic Web technologies, e.g., ontologies and knowledge graphs, together with generative Artificial Intelligence (AI) models, offer powerful means to represent and explore cultural knowledge, while also raising new methodological and epistemological challenges.
This special issue aims to advance research at the intersection of Semantic Web technologies, AI, and Digital Humanities by bringing together conceptual, methodological, and technical contributions.
In recent years, the alignment of Artificial Intelligence technologies with people’s behaviors and worldviews has become a central topic for several sectors of Computer Science. The pervasive diffusion of Large Language Models (LLM) inside and outside the academic sector requires important efforts to ensure fairness and representativity towards all social and cultural groups, potentially considering different identities that characterize potential end-users of these technologies.
In 2025, Dagstuhl Publishing combined continued expansion in its publications with substantial work on infrastructure, accessibility, workflows, and sustainability, further strengthening its role as an open-access publisher for computer science.
Generative Artificial Intelligence (GenAI) is rapidly transforming the ways in which research is written, reviewed, and communicated. To address both the opportunities and the challenges associated with these technologies, Dagstuhl Publishing (Schloss Dagstuhl – Leibniz-Zentrum für Informatik) has published a new Statement on the Use of Generative Artificial Intelligence (GenAI).
Never before has it been as easy as it is today to make information freely available to a broad public. On the other hand, the fact that digital information is no longer physically materialized in the same way as a widely copied, printed book poses major problems when it comes to keeping publications available for posterity. Here we provide a brief overview of Dagstuhl Publishing's measures for long-term archiving.
The LIPIcs Editorial Board has seen a change in leadership: the term of Meena Mahajan (Institute of Mathematical Sciences, Chennai, IN) as chair ended in October 2025. She is succeeded by Daniel Král’ (Leipzig University, DE and Max Planck Institute for Mathematics in the Sciences, Leipzig, DE), who has been a member of the Board since 2021.
Dagstuhl Publishing is taking an important step toward more accessible research dissemination: beginning in 2025, we started an internal project with the goal to make our publications available not only in PDF, but also in HTML format. As of today, the first articles in HTML are online.
We would like to announce several recent changes to the LIPIcs Editorial Board: Luca Aceto, Anca Muscholl, Philip Rogaway, and Raimund Seidel left the board with effect from May 31, 2025, while Sławomir Lasota, Alexandra Silva, and Holger Hermanns have joined the board.
Graph databases have become a cornerstone of modern data management. In this call for papers, we solicit new and original research contributions on theoretical foundations, systems, and applications of graph databases. We encourage submissions that address fundamental challenges, propose innovative solutions, and demonstrate impactful use cases.
Dagstuhl Publishing has optimized its workflow in the FAIRCORE4EOSC project by enhancing DSUB and DROPS to simplify the submission and archiving of supplementary materials, especially research software, thus ensuring better integration and long-term accessibility.
In this Call for Use-Case Articles, we solicit submissions of journal articles that describe in detail use-cases (in the form of applications, events, products, services, etc.) that put into practice research on Graph Data & Knowledge (GD&K) per the topics described in TGDK’s Call for Papers
2024 was another very successful year for Dagstuhl Publishing. In addition to the continuous growth of the publishing activity, we were able to achieve improvements in various areas with regard to the quality and quantity of metadata and we were able to expand our services.
The open-access journal Leibniz Transactions on Embedded Systems (LITES) is soliciting original articles for a special issue on Industrial Real-Time Systems.
Since this December’s release, hosting the monthly dblp dump snapshots (in both XML and RDF/N-Triples format) has moved to the Dagstuhl Research Online Publication Server (DROPS). This step brings many advantages over the old Apache Directory Listings solution that dblp has been using since the mid-1990s: The DROPS digital library provides a clean and well-structured user interface, metadata and BibTeX records for all datasets are readily available, and required auxiliary files (like the matching DTD files for the XML releases) are always just one click away.
However, the probably most important improvement is that each dblp data release is now (finally!) properly registered for and labeled with a DOI.
As part of the FAIRCORE4EOSC project, Dagstuhl Publishing is providing two new open source components for the long-term archiving of software: the SWH Archive Client and the SWH Deposit Client enable software projects and their metadata to be permanently stored in SoftwareHeritage. These tools are now publicly available and support publishers and the scientific community in sustainably preserving digital research results.
With Bib2Doi, Dagstuhl Publishing provides a new web tool that allows authors to enrich their bib-files by quickly adding DOIs, URLs, or missing metadata.
Resources play an essential role in various aspects of Computer Science research. In the context of Graph Data & Knowledge, such resources may include benchmarks, datasets, engines, frameworks, interfaces, knowledge graphs, languages, ontologies, pre-trained models, standards, tools, user logs, web applications and services, etc. Unfortunately, despite the advances that such resources enable, the work invested into creating and maintaining them is often undervalued in a research setting.
In this Call for Resource Papers, we solicit submission of journal articles that describe in detail a resource relevant to research on Graph Data & Knowledge per the topics described in TGDK’s Call for Papers.
The first 20 papers accepted this year for publication by the Leibniz Transactions on Embedded Systems (LITES) will have the usual article processing charge (APC) fully waived, i.e., authors will not be charged any publication fees thanks to sponsorship by EMSIG. Furthermore the new editorial board has taken up its work in late 2023 and is actively soliciting new submissions.
The special issue "Autonomous Systems and Knowledge Graphs" seeks novel work that tackles theoretical and engineering challenges related to human and machine autonomy benefiting from KGs.