(Photo: Getty Images)

Aims and Scope

The rapid growth of online available scientific, technical, and legal data such as patents, reports, articles, etc. has made the large-scale analysis and processing of such data a crucial task. Today, scientists, patent experts, inventors, and other information professionals (e.g., information scientists, lawyers, etc.) contribute to this data every day by publishing articles, writing technical reports, or patent applications.

It is a challenging task to process, analyze, and explore documents due to their length, the use of domain-specific vocabulary, and the complexity introduced by targeting various scientific fields and domains. Documents are semi-structured and cover unstructured textual parts as well as structured parts such as tables, mathematical formulas, diagrams, and domain-specific information such as chemical names, bio-sequences, etc.

Such kind of information brings complexity in processing such documents; however, data is the lifeblood of many applications, and its preservation, analysis, enrichment, and use are key for applications in several domains. In order to benefit from the scientific-technical knowledge present in such documents, e.g., for decision-making or for professional search and analytics, there is an urgent need for analyzing, enriching, and linking such data by employing state-of-the-art Semantic Web technologies and AI methods.

However, as they are heterogeneous and are written using domain-specific terminology applying the existing semantic technologies is not straightforward. To address the challenges mentioned above, Semantic Web Technologies, Natural Language Processing (NLP) techniques, Deep Neural Networks (DNN), and Large Language Models (LLMs) must be leveraged in order to provide efficient and effective solutions for creating easily accessible and machine-understandable knowledge.

Abstract deadline

March 1th, 2024

March 12th, 2024

Contact us if you did not make it on time!

Paper deadline

March 7th, 2024

March 17th, 2024


April 4th, 2024

Camera-ready Paper

April 18th, 2024

Workshop Topics

The workshop accepts contributions in all topics related to semantic web technologies and deep learning focused (but not limited) to:

  • Data Collection
    • Leveraging Large Language Models (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.
    • Collecting and sharing data sets such as benchmarks, etc.
    • Pipelines and protocols to capture peculiarities from data.
    • Employing Semantic Web Technologies to represent and preserve sensitive data in terms of ethics, privacy, security, trust, etc.
  • Novel Semantic Technologies for scientific, technical and legal data
    • Ontologies and annotation schema 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 data by exploiting semantic technologies
    • Exploiting knowledge graphs to drive document similarity, question answering, search etc.
    • Recommender systems.
    • 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 semantic technologies on specific data and domains.
    • Applications based on Generative AI and LLMs.
    • Lessons learned or/and use cases both from academia and industry around semantic models and LLMs for data in specific domains.


The submissions must be in English and adhere to the CEUR-WS one-column template (see Session 2: The New CEURART Style). The papers should be submitted as PDF files to EasyChair. The review process will be single-blind. Please be aware that at least one author per paper must be registered and attend the workshop to present the work and that ESWC is a 100% in person conference.

We will consider three different submission types:

  • Full Research Papers (8-12 pages) 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.
  • Short Papers (5-7 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.
  • Position or Industry Papers (3-5 pages) should introduce new point of views in the workshop topics or summarize the experience of a group in the field.
  • Extended Abstracts (1-2 pages) should introduce an ongoing work that aligns with the main scope of the workshop.

Submissions should not exceed the indicated number of pages, including any diagrams and references.

Each submission will be reviewed by three independent reviewers on the basis of relevance for the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references and reproducibility.

The accepted papers will be available on the Workshop website. The proceedings will be published in a CEUR-WS volume and consequently indexed on Google Scholar, DBLP, and Scopus.


All the information to register and attend the workshop can be found on the ESWC registration page .


SemTech4STLD workshop will take place on May 26th or 27th, 2024.

The program will be published after the acceptance of the papers.


Workshop Chairs

Program Committee


For general inquiries on the workshop, please send an email to: semtech4stld24@easychair.org