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/

Submission Guidelines

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://www.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.

List of Topics

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

Committees

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)

Invited Speakers

• TBA

Publication

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/

Venue

The PatentSemTech2027 workshop, co-located with ECIR 2027
(https://www.ecir2027.co.uk/) in Southampton, UK.

Contact

All questions about submissions should be emailed to: rkr@informatik.uni-kiel.de and hidir.aras@fiz-karlsruhe.de.