K-GALS 4th Workshop on Knowledge Graphs Analysis on a Large Scale

The event is co-located with the 29th European Conference on Advances in Databases and Information Systems (ADBIS 2025).

📍Tampere (Finland), 23 September 2025

Aims and Scope

 Knowledge graphs are powerful models to represent networks of real-world entities, such as objects, events, situations, concepts, by illustrating the relationships between them. Information encoded by knowledge graphs is usually stored in graph databases, and visualized as graph structures. Although these models have been introduced in the Semantic Web context, they have recently found successful applications also in other contexts, e.g., the analysis of financial, social, geospatial and biomedical data. Knowledge graphs often integrate datasets from various sources, which frequently differ in their structure. This, together with the increasing volumes of structured and unstructured data stored in a distributed manner, bring to light new problems related to data/knowledge representation and integration, data querying, business analysis and knowledge discovery. The ultimate goal of this workshop is to provide participants with the opportunity to introduce and discuss new methods, theoretical approaches, algorithms, and software tools that are relevant to the Knowledge Graphs based research, especially when it is focused on a large scale. To this regard, interesting open issues include how Knowledge Graphs may be used to represent knowledge, how systems managing Knowledge Graphs work, and which applications may be provided on top of a Knowledge Graph, in the distributed.

Topics of Interest

• Knowledge Graphs applications in real world domains 
• Knowledge Graphs databases in the distributed
• Explainable knowledge recommendation
• Link prediction
• Knowledge Graphs alignment and querying
• Knowledge extraction and integration of heterogeneous data
• Risk detection and prediction
• Knowledge Graphs Embeddings 
• Large Language Models (LLMs) for Knowledge Graphs

Submission guidelines

Two types of submissions are possible:

• LONG (research or experimental) papers: 15 LNCS style pages, including references
• SHORT (early findings or visionary) papers: up to 10 LNCS style pages, including references

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Papers should be submitted in PDF format using the CMT online submission system.

Submission Link: https://cmt3.research.microsoft.com/KGAL2025

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, to prepare their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Licence-to-Publish agreement. The corresponding author, who must match the corresponding author marked on the paper, must have the full right, power, and authority to sign the agreement on behalf of all of the authors of a particular paper and accept responsibility for releasing this material on their behalf. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. An author of an accepted paper must register to ADBIS 2025 in order to have the paper published, and accepted papers must be presented at the conference by one of the authors.

Diversity & Inclusion

According to the Diversity and Inclusion policy of ADBIS 2025, we kindly ask authors to be inclusive in the writing and the presentation of their work. Please visit the subsection “D&I materials” at https://dbdni.github.io/ for details.

Use of Generative AI

Authors should explicitly disclose the use of generative AI and AI-assisted technologies in their manuscripts when these tools are employed for more than just editing the author’s text. This disclosure can be made through a statement placed at the end of the manuscript, preceding the References section.

If it comes to our notice that a submission utilized large language models (LLMs) without clear disclosure, such papers will be subject to immediate desk rejection. However, if there is no usage of such technologies, no disclosure statement is required.

Important Dates (AoE)

• Paper Submission Extended Deadline (Pacific Time): May 16, 2025 June 20, 2025 23:59
• Notification of acceptance: July 4, 2025
• Camera ready: July 15, 2025
• Workshop: September 23, 2025
  

Program

TBA

Program Chairs

• Ylenia Galluzzo ✉️ , University of Palermo
• Simona E. Rombo ✉️ , University of Palermo

Program Committee Members