[Obo-discuss] [CfP] Call for Research & Innovation Papers at SEMANTiCS 2025 - Extended Deadline

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Call for Research & Innovation Papers
SEMANTiCS 2025 EU

21st International Conference on Semantic Systems

Vienna, Austria

September 3 - 5, 2025

Important Dates:

   -

   *Abstract Submission Deadline: April 25 , 2025 May 16, 2025*
   -

   *Paper Submission Deadline: May 2, 2025 May 23, 2025*
   -

   *Notification of Acceptance: June 13, 2025 June 27, 2025*
   -

   *Camera-Ready Paper Deadline: July 04, 2025 July 15, 2025*

*All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12)*

*Submissions will be through Easychair and the submission link will be
provided soon.*

Proceedings of SEMANTiCS 2025 EU will be made available *open access*.

Research and Innovation Track

The SEMANTiCS 2025 conference is excited to invite submissions for the
Research and Innovation Track, welcoming groundbreaking research
contributions, innovative solutions, and experimental studies relevant to
the Semantic Web, Semantic Technologies, and AI-enabled semantics. We also
encourage submissions at the intersections of these fields with other
scientific and applied disciplines, fostering cross-disciplinary exchange
and advancement. Papers should present original work that has not been
published or is not under consideration elsewhere. All submissions must
adhere to the submission guidelines, including reference formatting and any
additional documentation as required. Each submission will undergo a
rigorous review process, with at least three independent reviews,
evaluating the novelty, technical quality, reproducibility, and practical
relevance of the work.
Topics of Interest

SEMANTiCS 2025 calls for submissions of high-quality research papers across
a broad spectrum of topics in Semantic Web, Semantic Technologies, and AI.
We are particularly interested in new and emerging trends, especially where
semantic technologies intersect with evolving fields such as large language
models, explainable AI, and trustworthy data infrastructures. Topics of
interest include, but are not limited to:

   - Web Semantics & Linked (Open) Data
   - Enterprise Knowledge Graphs, Graph Data Management
   - Machine Learning Techniques for/using Knowledge Graphs (e.g.
   reinforcement learning, deep learning, data mining and knowledge discovery)
   - Generative AI and Knowledge Graphs (e.g., Retrieval-Augmented
   Generation (RAG) with knowledge graph integration, generative model
   grounding)
   - Reasoning, Rules, and Policies on RAG
   - Knowledge Engineering and Management (e.g., knowledge acquisition,
   extraction, integration, and publication workflows)
   - Terminology, Thesaurus & Ontology Management, Ontology engineering
   - Web agents
   - Natural Language Processing for/using Knowledge Graphs (e.g. entity
   linking and resolution using target knowledge such as Wikidata and DBpedia,
   foundation models)
   - Crowdsourcing for/using Knowledge Graphs
   - Data Quality Management and Assurance
   - Mathematical and Logical Foundations of Knowledge-aware AI
   - Multimodal Knowledge Graphs (e.g., text, image, audio fusion in graph
   structures)
   - Semantic-Enhanced Data Science Pipelines and Processes
   - Semantics in Blockchain environments (e.g., traceability,
   decentralized knowledge representation)
   - Trust, Data Privacy, and Security with Semantic Technologies
   - Internet of Things (IoT), Stream Processing, and Temporal Data
   Management (e.g., real-time semantic processing and predictive analytics)
   - Conversational AI and Dialogue Systems powered by Knowledge Graphs
   - Provenance and Data Change Tracking (e.g., semantic versioning, data
   updates in distributed settings)
   - Semantic Interoperability (e.g., cross-domain standards, mapping
   frameworks, ontology alignment)
   - Linked Data storage, triple stores, graph databases
   - Robust, Scalable, and Fault-Tolerant Semantic Data Systems (e.g.,
   distributed querying, optimization)
   - User Interfaces and Usability of Semantic Technologies (e.g.,
   visualizations, intelligent user interaction)
   - Explainable and Interoperable AI
   - Decentralised and Federated Knowledge Graphs (e.g., federated
   querying, link traversal)

Applied Semantic Technologies and AI in Real-World Scenarios, such as, but
not limited to:

   - Biomedicine and Health (e.g., Knowledge Graphs for biomedical
   applications, AI-driven diagnostics, personalized health)
   - AI for Environmental and Climate Solutions (e.g., semantic modeling
   for environmental impact, biodiversity knowledge graphs)
   - Scientific Knowledge Graphs and Open Science (e.g., FAIR data
   principles, enhanced scholarly communication)
   - Semantic Technologies in GLAM (Galleries, Libraries, Archives, and
   Museums)
   - Knowledge Graphs and Hybrid AI for Industry 4.0/5.0 and Predictive
   Maintenance
   - Digital Humanities and Cultural Heritage Preservation
   - Legal Technology, AI Ethics, and Regulatory Compliance (e.g., AI and
   legal frameworks, semantic-enabled compliance with the EU AI Act)
   - Economics and Governance of Data Ecosystems (e.g., data marketplaces,
   semantic service interoperability, data policy)

Submission Guidelines

The Research and Innovation Track at SEMANTiCS 2025 invites both
*long* and *short
paper submissions*.

   - *Long papers* should be *12-15 pages* in length (excluding
   references). These submissions are expected to present comprehensive,
   mature research findings, including in-depth theoretical or practical
   insights.
   - *Short papers* should be a *maximum of 6 pages* (excluding
   references). These submissions can include preliminary findings, innovative
   ideas, or position papers that aim to spark discussion and exploration.

References are not included in the page count, so authors may add
additional pages for relevant citations if needed. This flexibility allows
authors to fully reference foundational and related work to strengthen the
context and impact of their research.

   - Submissions should follow the guidelines of IOS Press. Details are
   available at *https://www.iospress.com/book-article-instructions*.
   <https://www.iospress.com/book-article-instructions>
   - Authors need to use the *Word template*
   <https://www.iospress.com/sites/default/files/media/files/2022-06/ECRC-Author-Instructions-and-tools-Word.zip>
   or *LaTeX* <https://vtex-soft.github.io/texsupport.IOS-Book-Article/>
   template provided by IOS Press. Overleaf users can copy the project *from
   here* <https://www.overleaf.com/read/gkkspcvjgwxv#563836> (follow
   instructions in the abstract).
   - Abstract submission is mandatory for all papers. To aid the review and
   bidding process, we highly encourage authors to submit structured
   abstracts.
   - All papers and abstracts have to be submitted electronically via
   EasyChair.
   - Submissions must be in English.
   - Submissions must adhere to the fair use of Large Language Models.
   Please refer to the SEMANTiCS *full policy*
   <https://2025-eu.semantics.cc/page/llm-policy> for more details.
   - Submissions must be anonymous; the reviewing process is double-blind,
   but reviewers will be able to disclose their identities if they wish, by
   signing their reviews.
   - Accepted papers will be published in open access proceedings by IOS
   Press, and the text of all the reviews (excluding the scores) of all the
   accepted papers will be posted on the conference website and will be
   archived on Zenodo as publicly available material.
   - At least one author of each accepted paper must present it in person
   and therefore register for the conference at the ONSITE rate.
   - All authors are strongly suggested to provide optional links to code,
   materials, and datasets during the submission process - we will have
   specific optional fields in the EasyChair submission form - the review
   process will take these into account when provided. To anonymise resources
   for the reviewing process, authors can use services like *Anonymous
   GitHub* <https://anonymous.4open.science/> or figshare/Zenodo as
   described *here*
   <https://github.com/dgraziotin/disclose-data-dbr-first-then-opendata?tab=readme-ov-file#double-blind-data-submission-on-zenodo>.

   - The Research and Innovation Track will not accept papers that, at the
   time of submission, are under review or have already been published in or
   accepted for publication in a journal or another conference.
   - All authors will have the opportunity to provide an ORKG comparison in
   the Open Research Knowledge Graph (*https://orkg.org* <https://orkg.org>)
   during the submission process - we will have a specific optional field in
   the EasyChair submission form.

Review and Evaluation Criteria

Each submission will be reviewed by at least three Programme Committee
members. The reviewing process is double-blind. However, reviewers can
disclose their identity by signing their reviews and/or adding one of their
persistent identifiers (e.g. their ORCID).

The text of all the reviews (excluding the scores) of all the accepted
papers will be posted on the conference website with the basic
bibliographic metadata of the reviewed submission (i.e. title and authors),
and it will be archived on Zenodo as publicly available material. All the
signed reviews of the accepted papers will be licensed using a Creative
Commons Attribution license (CC-BY, the copyright holder will be the
reviewer), except the anonymous ones that will be released in CC0.

Papers submitted to this track will be evaluated according to the following
criteria:

   - Appropriateness
   - Originality, novelty, and innovativeness
   - Impact of results
   - Technical quality of the methods
   - Soundness of the evaluation
   - Proper comparison to related work
   - Clarity and quality of writing
   - Reproducibility of results and resources

*We look forward to receiving your contributions!*
Research and Innovation Track Chairs
Blerina Spahiu (University of Milano-Bicocca, IT)
Mehdi Ali (Lamarr Institute & Fraunhofer IAIS, Germany)

Kind Regards,
On behalf of the organising committee.
=========================
Dr. Kossi Amouzouvi
ScaDS.AI Dresden/Leipzig, TU Dresden

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