[2nd CfP] Workshop at ESWC 2025 on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data

Call for Papers

3rd Workshop at ESWC 2025 on Semantic Technologies and Deep Learning Models
for Scientific, Technical and Legal Data

Workshop: 1st June or 2nd June, 2025 - Portoroz, Slovenia

https://semtech4stld.github.io/


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Important Dates
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Abstract Submissions: February 28th, 2025

Paper Submissions: March 6th, 2025
Notifications: April 3rd, 2025
Camera-Ready Contributions: April 17th, 2025
Final papers zip archive: April 17th, 2025
Workshop: June 1st or 2nd, 2025

All deadlines are 11:59 pm, AoE time (Anywhere on Earth).


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Workshop Aims and Scope
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The surge in online scientific, technical, and legal data has made
large-scale analysis and processing of such data a crucial task.
Effectively harnessing this wealth of information requires advanced methods
to analyze, enrich, and interlink data using state-of-the-art Semantic Web
technologies and AI techniques. Addressing these challenges involves
leveraging tools like Semantic Web technologies, Natural Language
Processing (NLP), Deep Neural Networks (DNNs), and Large Language Models
(LLMs) to transform complex datasets into accessible, machine-readable, and
semantically enriched formats. This workshop aims to unite researchers and
professionals from these domains to discuss challenges, share ideas, and
foster collaborations, driving innovative solutions for enriching and
interlinking complex datasets.


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Workshop Keywords
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Semantic Technologies - Deep Learning - Legal Data - Scientific Data -
Natural Language Processing - Knowledge Graphs


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Workshop Topics
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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 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

   -

   Applications based on Generative AI and LLMs.
   -

   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.
   -

   Lessons learned or/and use cases both from academia and industry around
   semantic models and LLMs for data in specific domains.


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Submission Details

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The submissions must be in English and adhere to the  CEURS-WS one column
<https://ceur-ws.org/Vol-XXX/%C2%A0>. The papers should be submitted as PDF
files to EasyChair <https://easychair.org/conferences/?conf=semtech4stld25>
 (https://easychair.org/conferences/?conf=semtech4stld25). The review
process will follow a single-blind protocol.

At least one author per paper must register for the workshop, attend in
person, and present their work. ESWC is a 100% in-person.



   -

   Full research papers (8-12 pages) should be clearly placed with respect
   to the state of the art and state the proposal's contribution in the
   application domain, 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 scientific, technical, and
   legal data areas are encouraged.
   -

   Position or industry papers (3-5 pages) should introduce a new point of
   view 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 for their
category, including any diagrams and references.

Each submission will be reviewed by three independent reviewers based on
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 CEUR-WS volume and consequently indexed in
Google Scholar, DBLP, and Scopus.


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Workshop Chairs

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Hidir Aras (FIZ Karlsruhe - Leibniz Institute for Information
Infrastructure, Germany)

Rima Dessi´ (Higher Colleges of Technology, Sharjah, UAE)

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, UK)


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Contacts

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For general inquiries on the workshop, please send an email to
ddessi@sharjah.ac.ae