Patent Information Users Group, Inc.

The PatentSemTech2022 (https://www.easychair.org/cfp/PatentSemTech2022) workshop aims to establish a long-term collaboration and a two-way communication channel between the IP industry and academia from relevant fields, such as natural language processing (NLP), text and data mining (TDM), and semantic technologies (ST) in order to explore and transfer new knowledge, methods, and technologies for the benefit of industrial applications as well as support research in applied sciences for the IP and neighboring domains. PatentSemTech2022 will be held as a full-day event in conjunction with SIGIR 2022. In case of travel restrictions due to Covid19, the workshop will switch to a hybrid or fully online format.

SIGIR'22
Madrid, Spain, July 15, 2022
Conference website http://www.ifs.tuwien.ac.at/patentsemtech/
Submission link  https://easychair.org/conferences/?conf=patentsemtech2022

Abstract registration deadline: April 29, 2022
Submission deadline: April 29, 2022

Topics: machine learning, natural language processing, semantic technologies, patent retrieval and text mining

We encourage submissions of high quality research papers on all topics related to the IP domain. Topics of interest include, but are not limited to

• Machine learning methods, in particular deep learning methods for:
  Representation learning (word and document embeddings); Query expansion; Clustering and classification; Recommendation; IPC/CPC prediction; Trend detection; Entity extraction;

• Semantic approaches for:
  Linking semantic information; Integrating external knowledge sources; Semantic enrichment

•  Methods and applications for retrieving, mining, and analyzing, including
  Patent landscaping; Hot spot / White spot analysis;  Multi-modal analysis; Technology trend analysis; Innovative user interfaces; Visual user interface concepts

Important Dates:
Workshop paper submission: Friday, April 29, 2022
Workshop paper acceptance notification: Friday, May 20, 2022
Workshop day: Friday, Jul 15, 2022

Contributions:
We solicit extended abstracts (max. 2 pages) describing novel ideas, ongoing work, case studies, system demonstrations, and resources. The submissions will be screened by the workshop organizers and selected for presentation based on innovativeness, novelty, interestingness, and impact. The presentation can be a poster, slides, or demo. We plan for two tracks:

Research Track. For this track, we solicit contributions from academia that present

• Novel applications of existing state of the art methods for the IP domain
• Novel methods or tasks in the IP domain
• Novel user interfaces for the IP domain
• Novel evaluation or analysis insights in the IP domain
• Novel benchmark datasets or other resources of interest
• A survey or overview related to a particular task in the IP domain

Industry Track. We solicit demos, case study, insights, or novel ideas from industry that present

• A focused case study making use of semantic technologies or machine learning
• An interesting IP-related task descriptions or best practices for patent analysis
• An in-use systems or prototype implementation of semantic technologies or deep learning approaches
• A demo on processing or analyzing data from the IP domain, or experience with user interaction or interfaces
• In-use resources related to patents or external resources to augment IP datasets, e.g., linked open data.

 Submission Guidelines:
Submissions must be in English, in PDF, and in the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website (https://www.acm.org/publications/proceedings-template (“sigconf” template for LaTeX; Interim Template for Word)). Submissions should be at most 2 pages (including figures and references) in length. Submissions should be submitted electronically via EasyChair: https://www.easychair.org/conferences/?conf=patentsemtech2022. At least one author of each accepted extended abstract is required to register for, and present the work in person at the workshop

 Publication:
Publication The accepted extended abstracts will be published as Open Access on TU Wien’s reposiTUm (https://repositum.tuwien.at/?locale=en) infrastructure. Selected contributions will be invited to submit extended, full papers to Elsevier’s World Patent Information (WPI, https://www.journals.elsevier.com/world-patent-information) journal.

 Organizers:
 Ralf Krestel (ZBW & CAU Kiel, Germany); Hidir Aras (FIZ Karlsruhe, Germany); Linda Andersson (Artificial Researcher, Austria); Florina Piroi (TU Wien & RSA FG, Austria); Allan Hanbury (TU Wien, Austria); Dean Alderucci (CMU, USA)

Contact:
All questions about submissions should be emailed to: r.krestel@zbw.eu and hidir.aras@fiz-karlsruhe.de