Call for Papers 4th Int. Workshop on AI and Semantic Technologies for Scientific, Technical, and Legal Web co-located with The Web Conference 2026
Workshop: April 13 or 14, 2026 - Dubai, UAE https://semtech4stld.github.io/
----------------------------------------------------- Important Dates -----------------------------------------------------
Abstract Submissions: January 5th, 2026 (1 week left!!) Paper Submissions: January 12th, 2026 Notifications: January 25th, 2026 Camera-Ready Contributions: February 2nd, 2026 Workshop: April 13 or 14, 2026 - Dubai, UAE
All deadlines are 11:59 pm, AoE time (Anywhere on Earth).
------------------------------------------------------ Workshop Aims and Scope ------------------------------------------------------
The SemTech 2026 workshop focuses on methods that combine Semantic Web technologies, Natural Language Processing, Large Language Models (LLMs), and other AI technologies to model knowledge across scientific, technical, and legal domains. The workshop invites research on knowledge graph creation, semantic annotation, LLM–KG hybrid reasoning, and trustworthy AI pipelines that enhance the reliability, interpretability, and reuse of Web data. This is particularly timely as the Web community seeks robust approaches to integrate symbolic and sub-symbolic methods for managing and understanding the growing body of domain-specific knowledge on the Web
------------------------------------------------------- Workshop Topics -------------------------------------------------------
We invite contributions on topics related to Semantic Web technologies and deep learning, particularly in the context of scientific, technical, and legal data. Areas of interest include, but are not limited to, the following areas:
Data Collection - Leveraging LLMs for generating scientific, technical, and legal data. - New tools and systems for capturing scientific, technical, and legal data, such as scientific articles, patent publications, etc. - Procedures and tools for storing, sharing, and preserving data on the Web. - Collecting and sharing data sets such as benchmarks, etc. - Pipelines and protocols to capture peculiarities from Web data. - Employing Semantic Web Technologies to represent and preserve sensitive data in terms of ethics, privacy, security, and trust on the Web. Novel Semantic Technologies for scientific, technical, and legal web: - Ontologies and annotation schemas to model such data. - Annotation, linking, and disambiguation of the data. - Knowledge graph construction. - LLMs to generate metadata, vocabularies, ontologies, and semantic models for specific data. Applications for patents, scientific, technical, and legal web: - Applications based on Generative AI and LLMs. - Exploiting knowledge graphs for document similarity, question answering, search, etc. - Semantic content-based retrieval. - Natural language processing techniques for classification, summarization, etc. - Exploratory search using semantic technologies on scientific, technical, and legal data. - Key enabling tools (also based on LLMs) for accessing and using data on the Web. - Lessons learned and use cases from both academia and industry around semantic models and LLMs for data in specific domains.
------------------------------------------------------- Submission Details -------------------------------------------------------
Formatting Requirements. Submissions must be written in English, in double-column format, and must adhere to the ACM template and format (also available in Overleaf). The review process will follow a single-blind protocol. Key Participation Requirement: At least one author per paper must be registered for the workshop, attend in person, and present their work.
- Full Research Papers (6-8 pages maximum) should be clearly placed with respect to the state of the art and state the contribution of the proposal in the domain of application, even if presenting preliminary results. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and a comparison with the existing approaches in the literature is encouraged. - Replicability/Reproducibility papers (4 pages) should involve repeating prior experiments using the source code and datasets to analyze existing methods and their limitations. Alternatively, authors may assess the robustness of previous work by applying the original code in new contexts, such as different domains or datasets. - Short Papers (4 pages) should describe significant novel work in progress. Compared to full papers, their contribution may be narrower in scope, be applied to a narrower set of application domains, or have weaker empirical support than that expected for a full paper. Submissions likely to generate discussions in new and emerging areas of legal data are encouraged.
Submissions should not exceed the indicated number of pages, including any diagrams and references.
PROCEEDINGS PUBLICATION Papers accepted by the workshop will be included in the Companion Proceedings of the Web Conference 2026, which are archived in the ACM Digital Library, subject to meeting the ACM open-access, formatting guidelines, and camera-ready timeline as provided and observed by the ACM Web Conference. See the section Important update on ACM's new open access publishing model for 2026 ACM Conferences! on the conference website.
--------------------------------------------------------- Workshop Chairs ---------------------------------------------------------
Rima Dessi´ Higher Colleges of Technology, United Arab Emirates (UAE) Hidir Aras FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
Jeenu Joy FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
Danilo Dessi´ Department of Computer Science, College of Computing and Informatics, University of Sharjah, Sharjah, UAE
Francesco Osborne The Open University, Milton Keynes, United Kingdom
----------------------------------------------------------- Contacts -----------------------------------------------------------
For general inquiries on the workshop, please send an email to ddessi@sharjah.ac.ae