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We apologize for possible cross-posting.</div>
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*************** 1st Call for Papers ***************</div>
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The 3rd International Workshop on Semantic Materials Science (SeMatS)</div>
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(https://sites.google.com/view/semats2026)</div>
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collocated with the 25th International Semantic Web Conference ISWC-2026</div>
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(https://iswc2026.semanticweb.org) </div>
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Expanding and adapting Semantic Web technologies to the Materials Science domain can significantly </div>
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enhance research outcomes by enabling the uniform consideration, integration, and analysis of </div>
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heterogeneous data from diverse sources and formats. Implementing these technologies can improve </div>
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the traceability and reproducibility of scientific procedures, experiments, and simulations. </div>
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It also facilitates automatable data management solutions and empowers researchers to answer </div>
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scientific inquiries using semantic queries. Moreover, machine learning methods can benefit from </div>
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enhanced data completeness and coherence.</div>
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The primary objective of this workshop is to gather professionals from the Semantic Web and in Materials Science </div>
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and Engineering to show the recent advances in the use of Semantic Web technologies for Materials Science </div>
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and Engineering, as well as provide a platform for discussing issues, finding collaboration opportunities and developing a community for this interdisciplinary field.</div>
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The workshop will cover topics within the intersection of the scope of the Semantic Web domain </div>
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and the Materials Science and Engineering domain (MSE), including but not limited to:</div>
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- Knowledge Graph construction in MSE</div>
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- Ontology design and design methodologies in the MSE domain</div>
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- Efficient integration and communication of ontologies in MSE</div>
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- Data interoperability and data integration in MSE</div>
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- Data quality assurance and data governance in SW-based MSE systems</div>
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- Ontology-based reasoning and inference in MSE</div>
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- Semantic search and information retrieval in MSE</div>
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- Semantic annotation and metadata management in MSE</div>
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- Machine learning and AI techniques applied to MSE using SW technologies</div>
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- Natural Language Processing (NLP) applied to MSE data</div>
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- Large Language Models (LLM) in MSE</div>
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- Visualization techniques for MSE data</div>
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- Microscope and image processing applications in MSE using SW technologies</div>
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- Collaborative and distributed approaches for managing MSE data</div>
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- Retrieval Augmented Generation (RAG) in MSE</div>
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- Lessons learned and best practices for implementing SW applications in MSE systems</div>
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Contributions:</div>
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- Contributions to the workshop can be made in terms of:</div>
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* Full research papers (8-12 pages)</div>
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* Papers presenting negative results (8-12 pages) </div>
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* In-Use and Experience papers (8-12 pages)</div>
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* Position and vision papers (6-8 pages)</div>
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* Short research papers (4-6 pages)</div>
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* System/demo/in-practice papers (4-6 pages)</div>
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* Industrial statement papers (2 pages)</div>
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(plus unlimited references)</div>
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- Contributions will be refereed by the Program Committee. Accepted papers will be published in </div>
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the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. </div>
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We also invite authors of accepted papers to submit an extended version to the Special Issue on Semantic Materials Science and Engineering (SMSE) at the Semantic Web Journal:</div>
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(https://www.semantic-web-journal.net/blog/special-issue-semantic-materials-science-and-engineering-smse)</div>
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Submissions:</div>
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- Submissions must be in PDF and should be written in English, following the CEUR-WS one-column template. </div>
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Overleaf page for LaTeX users is available at https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw, while an </div>
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offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. </div>
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For details on the PDF submission format, please look at The New CEURART Style.</div>
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- Submissions should be uploaded in PDF format through the workshop submission site at: </div>
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https://easychair.org/conferences/?conf=semats2026</div>
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Important dates:</div>
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- Submission: July 24th, 2026 (11:59 pm, AoE)</div>
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- Notifications: August 21st, 2026 (11:59 pm, AoE) </div>
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- Event: October 25th or October 26th, 2026</div>
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PC members:</div>
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- D'Souza, Jennifer (TIB Hannover, Germany)</div>
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- Dembska, Marta (DLR Institute of Data Science, Germany)</div>
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- Dernek, Ozan (Case Western University, US)</div>
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- French, Roger H. (Case Western University, US)</div>
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- Goldbeck, Gerhard (Goldbeck Consulting, UK)</div>
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- Horsch, Martin Thomas (Norwegian University of Life Sciences, Norway)</div>
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- Liu, Nan (Karlsruhe Institute of Technology, Germany)</div>
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- Ma, Chuangtao (Aalborg University, Denmark)</div>
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- Marx, Edgard (Byondis, Germany)</div>
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- Mercuri, Francesco (CNR, Italy)</div>
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- Nasrabadi, Hossein Beygi (FIZ Karlsruhe, Germany)</div>
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- Norouzi, Ebrahim (FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany)</div>
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- Soru, Tommaso (Serendipity AI, UK)</div>
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- Tan, He (Jönköping University, Sweden)</div>
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- Waitelonis, Jorg (FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany)</div>
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Organizers:</div>
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- Andre Valdestilhas (Vrije Universiteit Amsterdam, Netherlands)</div>
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- Huanyu Li (Linköping University, Sweden)</div>
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- Patrick Lambrix (Linköping University, Sweden)</div>
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- Harald Sack (FIZ Karlsruhe, Leibniz Institute for Information Infrastructure, Germany)</div>
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