[DL] [CfP] Sci-K @ISWC 2026 – 6th Intl. Workshop on Scientific Knowledge Representation, Discovery, and Assessment

[Angelo Salatino]

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CALL FOR PAPERS

Sci-K – 6th International Workshop on Scientific Knowledge Representation,
Discovery, and Assessment in conjunction with the International Semantic
Web Conference (ISWC) 2026


October 25/26 2026, Bari, Italy (exact day TBD)

Web: https://sci-k.github.io,

X: @scik_workshop <https://twitter.com/scik_workshop>,

LinkedIn: https://www.linkedin.com/groups/10083235/

Submission deadline: July 24th, 2026

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Aim and Scope:


Recently, we have experienced a massive increase in the volume of
scientific articles and research artefacts (e.g., datasets, models,
software packages). This trend is expected to continue and pose challenges,
including developing large-scale machine-readable representations of
scientific knowledge, making scholarly data and knowledge discoverable and
accessible, and designing reliable and comprehensive metrics to assess
scientific impact and measure the quality of structured scientific
resources and AI-driven research support. Sci-K provides a forum for
researchers and practitioners from diverse disciplines to present, educate,
and guide research on scientific knowledge.


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Topics of Interest:



   -

   Representation
   -

      Data models for the description of scholarly data and their
      relationships, including rich semantic representations of hypotheses,
      methods, claims, and research results.
      -

      Description and use of provenance information of scientific data.
      -

      Integration and interoperability models of different data sources,
      including cross-domain and interdisciplinary knowledge alignment
      -

      NLP and AI approaches that demonstrate related methods and
      technologies.
      -

      Relevant knowledge graphs and ontologies.
      -

      Hybrid or LLM-based approaches for representation and knowledge graph
      engineering.
      -

      Infrastructures and metadata standards aligned with the Barcelona
      Declaration to ensure open and sustainable research information.
      -

      Applications of representation approaches in scholarly communication,
      including semantic publishing and structured scientific communication.
      -

   Discoverability
   -

      Methods for extracting metadata, entities and relationships from
      scientific data.
      -

      Methods for the (semi-)automatic annotation and enhancement of
      scientific data.
      -

      Methods and interfaces for the exploration, retrieval, and
      visualisation of scholarly data.
      -

      NLP and AI approaches that demonstrate related methods and
      technologies.
      -

      Hybrid human-AI workflows for discovery, including curation,
      validation, and knowledge refinement.
      -

      Methods supporting interdisciplinary discovery and cross-domain
      knowledge exploration.
      -

      Applications and use cases demonstrating how ontologies, knowledge
      graphs, and LLMs support research tasks, such as literature exploration,
      hypothesis generation, and knowledge synthesis.
      -

   Assessment
   -

      Novel methods, indicators, and metrics for quality and impact
      assessment of scientific publications, datasets, software, and other
      research output.
      -

      Uses of scientific knowledge graphs and citation networks for the
      facilitation of research assessment.
      -

      Studies regarding the characteristics or the evolution of scientific
      impact or merit.
      -

      NLP and AI approaches that demonstrate related methods and
      technologies.
      -

      Approaches to research assessment aligned with responsible research
      evaluation initiatives (e.g., DORA, CoAra). .
      -

      Metrics and frameworks for evaluating the quality, completeness, and
      reliability of scientific knowledge representations, including knowledge
      graphs and ontologies.
      -

      Evaluation of discovery systems and AI-driven tools, including their
      effectiveness, transparency, interpretability, and support for research
      tasks.
      -

      Benchmarking and evaluation methodologies for scholarly data
      infrastructures and AI-based research support systems (using ontologies,
      LLMs, KGs).



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/***** NEW *****/


Exclusive to ISWC 2026 main tracks’ submissions


We invite you to submit your paper to Sci-K 2026 if it was rejected from
the main tracks (Research, Resource, In-Use), provided that it is in scope
of the workshop. Info on the website: https://sci-k.github.io


OpenAIRE Graph Award

Sci-K 2026 is proud to partner with OpenAIRE to offer a €300 prize for the
best paper making significant use of the OpenAIRE Graph — one of the
largest open scholarly knowledge graphs available, covering millions of
publications, datasets, software, projects, and organisations. Whether you
use it as your sole data source or alongside others, if the OpenAIRE Graph
plays a central role in your methodology or findings, your paper is
automatically in the running. The winner will be announced on the workshop
day. Don't miss this opportunity to get recognised for doing open science
with open data!



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Important Dates:

   -

   Paper submission: July 24th, 2026 (23:59, AoE timezone)
   -

   Notification of acceptance: August 21st, 2026
   -

   Camera-ready due: September 13th, 2026 (tentative)
   -

   Workshop day: October 25/26, 2026 (TBA)



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Organising Committee (alphabetical order):

Allard Oelen, TIB, DE

Anna Jacyszyn, FIZ Karlsruhe, DE

Andrea Mannocci, CNR-ISTI, IT

Francesco Osborne, The Open University, UK

Georg Rehm, DFKI, DE

Angelo Salatino, The Open University, UK

Sonja Schimmler, TU Berlin, Fraunhofer FOKUS, DE

Lise Stork, University of Amsterdam, NL


*Angelo Antonio Salatino [salatino.org <http://salatino.org/>]*
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