The PatentSemTech2027 workshop, co-located with ECIR 2027 (https://www.ecir2027.co.uk/) in Southampton, UK, aims to bring together large language models, knowledge graphs, with patent mining, analysis, and retrieval. As a forum for researchers and practitioners from the patent domain, we are interested in novel research and insights from the intellectual property (IP) domain.

Workshop website: http://ifs.tuwien.ac.at/patentsemtech/

Important Dates

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Submission deadline:                         January 13th, 2027

Notification of acceptance:              February 1st, 2027

Workshop day:               TBD (March 21st or 25th, 2027)

Topics of Interest

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We encourage submissions of high-quality research papers on all topics related to patents. Topics of interest include (but are not limited to):

Information retrieval, text mining, knowledge graphs (KGs), large language models (LLMs) applied to patents, in particular for:

  – Representation learning

  – Multimodal retrieval and analysis

  – Retrieval augmented generation (RAG)

  – Applications of LLMs

  – Large language model pre-training and fine-tuning

  – Explainability and interpretation

  – Query expansion / rewriting

  – Clustering and classification

  – Recommendation

  – IPC/CPC prediction

  – Trend detection

  – Entity extraction

  – Linking semantic information

  – Integrating external knowledge sources

  – Patent landscaping

  – Hot spot / White spot analysis

  – Technology trend analysis

  – Visual user interface concepts

  – Metadata and citation analysis

  – Evaluation, benchmarks, and metrics

Call for Contributions

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We solicit two types of submissions from both, industry, and academia: full papers and short papers. All submissions will be peer-reviewed by at least two program committee members and evaluated based on innovativeness, novelty, interestingness, impact and fit to the workshop's topics.

+ For full papers we solicit contributions that present novel and mature research work.

+ For short papers we solicit contributions that present research ideas, demos, case studies, or system descriptions.

Submission Guidelines

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Submissions must be in English as PDF and follow the CEURART single-column style. The LaTeX files are available as Overleaf template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk and as downloadable ZIP file https://ceur-ws.org/Vol-XXX/CEURART.zip.

Submissions should have at most 12 (full) or 6 (short) pages plus additional pages for references. Appendices count toward the page limit. Please put appendices before the references for paper submission. Following CEUR policy, you are required to have a “Declaration on Generative AI” in your paper (https://ceur-ws.org/GenAI/Policy.html).

Each submission will be peer-reviewed by at least two program committee members, following the single-blind paradigm. Submissions should be submitted electronically via EasyChair:

https://easychair.org/conferences/?conf=patentsemtech2027.

At least one author of each accepted paper is required to register for, and present the work in person at the workshop.

Publication

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Accepted papers will be published as CEUR proceedings. Selected contributions will be invited to submit extended, full papers to Elsevier’s World Patent Information (WPI) journal: https://www.journals.elsevier.com/world-patent-information/

Organizers

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Ralf Krestel (ZBW & CAU Kiel, Germany),

Hidir Aras (FIZ Karlsruhe, Germany),

Florina Piroi (Data Science Studio, RSA FG, Austria),

Allan Hanbury (TU Wien, Austria),

Alexander Klenner-Bajaja (EPO, The Hague, Netherlands)

All questions about submissions should be emailed to:

rkr@informatik.uni-kiel.de and hidir.aras@fiz-karlsruhe.de.