PatentSemTech

Call for Contributions

The PatentSemTech 2022 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 neighbouring domains.

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: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.

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 analysing 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.

Topics of Interest

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):

Text mining and retrieval from patents, legal documents, or other scientific-technical information sources
Machine learning methods, in particular deep learning methods for
- Representation learning (word and document embeddings)
- Query expansionClustering and classification
- 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 mining and analysing, including
- Patent landscaping
- Hotspot / White spot analisys
- Multi-modal analysis
- Technology trend analysis
- Innovative user interaction
- Visual user interface concepts

Important Dates:

Workshop paper submission: AoE, April 29, 2022
Workshop paper acceptance notification: May 20, 2022
Workshop day: July 15th, 2022

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

Workshop post-proceedings will be published as Open Access on TU Wien’s reposiTUm infrastructure. Selected papers will be invited to submit their paper to Elsevier’s World Patent Information (WPI) journal for inclusion in the virtual special issue on “Patent Text Mining and Semantic Technologies”.

Organizers

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

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