[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,
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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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