Webinar: Text-Mining and Semantic Resources for Agriculture & Food Science

Date: Tuesday, 6 March 2018, 3pm Central European Time

Duration: 60 min

Content: This webinar offered an overview of text-mining services and their underlying tools and techniques:

• • Goals and challenges of text-mining

  • Different types of text-mining services

  • Architecture of a text-mining system

  • Network of platforms supporting text-mining

  • Challenges, limitations, and current trends

Sophie and Robert used examples from their experience in building a text-mining service within the WheatIS system.

Presenters:

Sophie Aubin works at the Scientific and Technical Information Department of INRA where she leads vocabulary management and information analysis services for researchers. Sophie holds a Master in computational linguistics. She is participating in the H2020 OpenMinTeD and the eRosa projects, and is co-chairing the Agrisemantics working group in the Research Data Alliance.

Robert Bossy is a senior research engineer with the Bibliome team at INRA. His domains of interest are text-mining and natural language processing applied to biology and food sciences. Robert is the main developer of AlvisNLP/ML, an automatic corpus processing software integrated to the OpenMinTeD infrastructure.

Presentation: Text-mining and semantic resources for agriculture and food science — PowerPoint presentation by S. Aubin & R. Boissy, INRA

Text-Mining and Semantic Resources for Agriculture & Food Science- webinar 6 March 2018 — Video recording of the webinar