This workshop solicits contributions that advance the theory, systems, and applications of semantic technologies for data management. Topics of interest include, but are not limited to:
Knowledge Graphs (KGs) and Virtual Knowledge Graphs (VKGs) / Ontology-Based Data Access (OBDA).
Ontology-mediated query answering, query rewriting, and complexity/tractability results.
(V)KG construction, refinement, enrichment,and schema/mapping design.
Provenance, explainability, and accountability for (V)KG query answers.
Ontologies, metadata vocabularies, and standards.
Temporal, spatial, and other non-standard KG modalities.
Performance, scalability, distributed execution, and security for (V)KGs.
Evolution, updates, and preservation of (V)KGs (consistency and incremental reasoning).
Intersections with machine learning, neural symbolic methods, and LLM-augmented pipelines.
(V)KG analytics, benchmarking, and evaluation methodologies.
Link to the submission system: submissions.floc26.org/st4dm/paper/new
The ST4DM reviewing is single-blind, so the names of the authors will be visible to the reviewers and should be indicated on the submitted files.
Submissions within the workshop scope may be of three types:
Full research papers: Submitted papers must not exceed 14 pages including the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 10 pages.
Short papers: Submitted papers must not exceed 9 pages including the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 5 pages (including the bibliography).
Extended Abstract: should be 2-5 pages long including the bibliography. These submissions will not be included in the formal proceedings. If the submission is based on a paper accepted or under review at another venue, the authors must clearly state the venue and the paper's status. The title of the submission must include the phrase "(Extended Abstract)".
Submissions will be judged solely based on their content.
Both regular papers, short papers and abstracts must be formatted using the new CEUR template (containing the self-declaration on the use of generative AI). Please use 1-column style.
Accepted submissions will be presented during the workshop and published in a CEUR volume. Full and short papers will be indexed in DBLP, however extended abstracts will not.
Outstanding papers may be invited to submit an extended version of their contribution to a journal special issue.
The ST4DM reviewing is single-blind, so the names of the authors will be visible to the reviewers and should be indicated on the submitted files.