Science and Research Content

FIZ Karlsruhe to organise first Patent Text Mining & Semantic Technologies workshop -

The first workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) will be held at FIZ Karlsruhe within the scope of the SEMANTiCS 2019 conference. The one-day workshop, scheduled for September 12, 2019, is organised jointly with Technische Universität Vienna.

The event deals with the development of new concepts and methods of text and data mining (TDM). Text and data mining methods help retrieve and analyse knowledge that was published in patents. In this context, FIZ Karlsruhe develops and operates information services, which support research and innovation in science and industry.

The one-day workshop will start with a keynote speech held by Anthony Trippe, Managing Director of Patinformatics LLC, and be continued with scientific lectures on topics like automatic terminology recognition and patent landscaping. Patent landscaping provides a snapshot of the patent situation of a specific technology, either within a specific country, region, or globally. Patent Landscaping Reports can also be used to analyse the validity of patents based on data about their legal status.

The program will continue with a ‘Demo and Industry Talk’ session, in which practice-orientated applications will be presented and discussed. Participants can then gain hands-on experience in an interactive tutorial session on patent landscaping. Another session is dedicated to the topic ‘From A-Z, towards a patent text mining application’. The workshop ends with a fishbowl discussion to promote the exchange of data and know-how between science and industry.

The PatentSemTech workshop is not to remain a one-time event but to be further developed into an active community in the medium term. The workshop will be held in building 241 at FIZ Karlsruhe on the premises of KIT Campus Nord, Eggenstein-Leopoldshafen, Germany.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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