Scientific progress depends heavily on reliable, high-quality resources that serve as the foundation for impactful research outputs. Within the domain of the Semantic Web, theoretical, analytical, and empirical contributions play a crucial role in shaping such resources, enabling both innovation and excellence.

The ESWC 2026 Resources Track seeks to highlight resources that are not only novel and groundbreaking, but also designed to be shared, reused, and to directly facilitate the production of scientific knowledge, including but not limited to:

• datasets, knowledge graphs, and annotated corpora,
  Papers presenting the creation, extension, or application of datasets and knowledge graphs, including methodologies, algorithms, and workflows that support specific tasks or domains.
• ontologies, vocabularies, and ontology design patterns
  Papers detailing the modeling processes behind the development of ontologies, vocabularies, or ontology design patterns of relevance and value to the Semantic Web community.
• workflows, services, and APIs
  Papers describing research prototypes, services, or APIs that enable or facilitate the testing and validation of research hypotheses.
• evaluation benchmarks or methods
  Papers that describe benchmarks focusing on datasets and algorithms for systematic and transparent evaluation of current systems.
• software frameworks and infrastructure-oriented resources
  Papers introducing frameworks, models, or tools that would impact the knowledge engineering community, such as large-scale word embeddings, embeddings of widely used knowledge graphs (e.g., DBpedia, Wikidata), or adaptable software infrastructures that support scientific experimentation and study.
• resources for multi-agent systems and knowledge graphs
  Papers presenting resources specifically designed to support multi-agent system approaches in the creation, enrichment, or application of knowledge graphs. These resources go beyond general datasets or frameworks by enabling coordination and interaction between autonomous agents for tasks such as entity extraction, knowledge integration, reasoning, or real-time updates. Contributions should emphasize reusability, scalability, and openness, showcasing how agent-based approaches advance both research and applied uses of knowledge graphs.

Submission site: EasyChair Submission Portal.

Review Criteria

The program committee will evaluate both the paper and the associated resource, taking into account both research contributions and technical quality. Resources will be assessed according to the following general review criteria, which should be carefully considered by both authors and reviewers.

Research Aspects

Scientific Impact

• Is the resource new or original?
• Is the resource novel or innovative?
• Is the resource well presented?
• Is the paper clear and of high quality?
• Is the resource positioned with respect to the state of the art?
• Is the resource compared to the state of the art? (if meaningful)

Scientific Quality

• Are the methodology, modeling choices, and functionality sound and well-motivated?
• Are the domain, modeling problems, and requirements clearly described and significantly cover the domain?
• Is the resource’s design and coverage clear, reasonable, and logically correct?
• Are the advantages, complexities, and limitations well described?
• Is the resource validated in real use cases?
• If the resource is a benchmark, do its metrics measure something significant, relevant, and important?

Broader Impact

• Is the resource of interest to the Semantic Web community?
• Is the resource of interest to society in general?
• Will the resource have an impact, especially in supporting the adoption of Semantic Web technologies?
• Is the resource relevant and sufficiently general, and does it measure some significant aspect or fill an important gap?
• Does the resource break new ground?
• How does the resource advance the state of the art? Has the resource been compared to other existing resources (if any) of similar scope?

Technical Aspects

Reusability

• Is the resource easy to (re)use? For example, does it have good quality documentation? Are there tutorials available?
• Is there potential for extensibility to meet future requirements (e.g., upper-level ontologies, plugins in protégé)?
• Does the resource clearly explain how the data and software can be used? Does the resource provide detailed documentation?
• Does the resource description clearly state what the resource can and cannot do, and the rationale for the exclusion of some functionality?

Design & Technical Quality

-Does the design of the resource follow resource-specific best practices?

• Did the authors perform an appropriate re-use or extension of suitable high-quality resources? For example, in the case of ontologies, authors might extend upper ontologies and/or reuse ontology design patterns.
• Does the resource provide an appropriate description (both human- and machine-readable), thus encouraging the adoption of FAIR principles? Is there a schema diagram? For datasets, is the description available in terms of VoID/DCAT/DublinCore?
• Does it use open standards, when applicable, or have good reasons not to?
• If the resource proposes performance metrics, are such metrics sufficiently broad and relevant?

Availability

• Is the resource (and related results) published at a persistent URI
  (PURL, DOI, w3id)?
• Does the resource provide a (preferably open) license specification?
  (See creativecommons.org, opensource.org for more information).
• Is the resource publicly available?
  For example, as an API, Linked Open Data, Download, Open Code Repository.
• Is the resource publicly findable? Is it registered in (community) registries (e.g., Linked Open Vocabularies, BioPortal, DataHub, or DBpedia Databus)? Is it registered in generic repositories such as FigShare, Zenodo, or GitHub?
• Is there a reasonable sustainability and maintenance plan specified for the resource?

Submission

We welcome papers on well-established as well as emerging publicly available resources.

• ESWC will not accept work that is under review or has already been published in or accepted for publication in a journal, another conference, or another ESWC track.
• Abstracts need to be pre-submitted, followed by a timely submission of the full work.
• Papers must not exceed 15 pages (with an unlimited number of extra pages for the references) and should be written in English.
• The Resources Track follows a single anonymous reviewing process; that is, reviewers remain anonymous, whereas authors are not anonymous.
• Authors will have the opportunity to submit a rebuttal to the reviews to clarify questions posed by program committee members.
• At least one author per contribution must register for the conference for presentation.
• Change of authors or of the author order after acceptance is not allowed.
• Submission will be done through Easychair through this link: https://easychair.org/my/conference?conf=eswc2026. After logging in, please select the track to which you are submitting.

Resource Links (to be included after the abstract)

Authors should guarantee easy access to the resource throughout the review process, ideally by providing a permanent, resource-specific citation. For example,

• links to datasets and other materials used for evaluation and software source code.
  The links need to be provided after the abstract, and they should include:

  Resource type: … → The type of the resource presented in the paper
  License: … → The license of the resource presented in the paper
  DOI: … → The DOI of the resource presented in the paper
  URL: … → The URL of the resource presented in the paper

  This paper provides an example of such a list:
  https://doi.org/10.1007/978-3-030-88361-4_26

• data available in a repository such as FigShare, Zenodo, or a domain-specific repository.

• software code being available in public code repositories such as GitHub or BitBucket.

Important Dates

All deadlines are 23:59 Anywhere on Earth (UTC-12).

Delineation from Other Tracks

We strongly encourage prospective authors to carefully review the calls for the other main tracks of the conference, in order to identify the most suitable track for their work

• Research Track: Papers proposing new algorithms, methods, experimental studies, or architectures should be submitted here.
• In-Use Track: Papers demonstrating the application of state-of-the-art semantic technologies or resources in practical settings (i.e., where the novelty lies in the application).
  Industry authors wishing to present an interesting application without submitting a full paper are also encouraged to submit here.
• Resources Track: Papers describing concrete resources, such as datasets, ontologies, vocabularies, annotated corpora, workflows, knowledge graphs, or evaluation benchmarks, should be submitted to this track.

Papers accepted in the Research, In-Use, and Resources tracks will all be published in the conference proceedings.

Resources Track Chairs

• Olaf Hartig
  Linköping University, Sweden

• Blerina Spahiu
  University of Milano-Bicocca, Italy

Contact: eswc2026-resources@easychair.org

Acknowledgements

The text from this CfP is partially based on the call for Resource Papers for ESWC 2025 by Katja Hose and Cogan Shimizu, who relied on previous calls, including the call for Resource Papers for ESWC 2024 by Mehwish Alam and Heiko Paulheim, Resource Papers for ESWC 2023 by Anastasia Dimou and Raphael Troncy, the call for Resource Papers for ESWC 2022 by Catia Pesquita and Hala Skaf-Molli, the call for Resource Papers for ESWC 2021 by Maria Maleshkova and Pierre-Antoine Champin, the call for Resource Papers for ESWC2020 by Heiko Paulheim and Anisa Rula, and the call for Resource Papers for ESWC2019 by Amrapali Zaveri and Alasdair J. G. Gray.