Overview
The 4th International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical, and Legal Web is set to take place in Dubai, UAE, co-located with The Web Conference 2026. This workshop aims to explore the integration of Semantic Web technologies and deep learning methodologies to enhance knowledge modeling across various domains. It presents a significant opportunity for researchers and practitioners to contribute to the evolving landscape of AI technologies.
Background & Relevance
In recent years, the intersection of Semantic Web technologies and deep learning has gained traction, particularly in fields such as scientific research, legal frameworks, and technical documentation. The ability to effectively model knowledge in these areas is crucial for improving data reliability, interpretability, and usability. As the volume of domain-specific knowledge on the Web continues to grow, robust methodologies that combine symbolic and sub-symbolic approaches are essential for managing this complexity.
Key Details
- Workshop Dates: April 13 or 14, 2026
- Location: Dubai, UAE
- Abstract Submission Deadline: January 5, 2026
- Paper Submission Deadline: January 12, 2026
- Notification of Acceptance: February 2, 2026
- Camera-Ready Contributions Due: February 15, 2026
- Submission Format: Papers must be submitted in English as PDF files to EasyChair.
- Review Process: Single-blind protocol.
Eligibility & Participation
This workshop is targeted at researchers, practitioners, and students who are engaged in the fields of Semantic Web technologies, natural language processing, and deep learning. Participants are encouraged to submit their work, provided at least one author is registered for the workshop and attends in person to present their findings.
Submission or Application Guidelines
Submissions should adhere to the CEURS-WS formatting guidelines and must not exceed the specified page limits:
– Full Research Papers: 10-16 pages
– Replicability/Reproducibility Papers: 8-10 pages
– Short Papers: 6-9 pages
Papers should clearly articulate their contributions to the field, including methodology and experimental results. Authors are encouraged to discuss their findings in the context of existing literature. Accepted papers will be published in a CEUR-WS.org volume, ensuring free access for all readers.
More Information
The workshop will delve into various topics such as data collection methodologies, novel semantic technologies, and applications of AI in scientific, technical, and legal contexts. It aims to foster discussions around the use of knowledge graphs, LLMs, and generative AI to enhance data accessibility and usability on the Web.
Conclusion
Researchers and practitioners are encouraged to submit their work to this workshop, as it provides a platform for sharing innovative ideas and advancing the field of Semantic Web technologies and deep learning. For further inquiries, please contact the workshop chairs via the provided email. Explore this opportunity to contribute to a vital area of AI research and practice.
Category: CFP & Deadlines
Tags: semantic web, deep learning, natural language processing, knowledge graphs, AI technologies, scientific data, legal data, technical data, generative AI, workshop, Web Conference, Dubai
