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Feasibility study for recognition of specific ecological traits and sampling devices/ /methodologies in text


The free online training session is organised in the framework of EMODnet Biology and in particular on the ongoing Feasibility Study on Ecological Traits and sampling devices/methodologies identification with text mining. This training session focuses on the interdisciplinary field of text mining and its application on marine ecological traits. During the session, participants will receive an overview of state-of-the-art text mining technologies and bioinformatic tools. A balanced approach of lectures and practical sessions will provide a general background and the latest advancements in the field as well as its relationship with other disciplines. Registration via: 


Practical Information

Date: 20 March 2023

Time Zone:  Central European Time (CET)

Location: online training (the link will be sent to participants after their express of interest at 

The training session is free of charge for participants.

9:00 – 9:15   Welcome. Introduction to EMODnet Biology.

(Mrs Dimitra MAVRAKI, Data Manager, Hellenic Centre for Marine Research, Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC))

9:15 - 10:00 Overview of pre-course work, introduction round.

 (Mr Savvas PARAGKAMIAN, PhD Candidate, Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC))

10:00 - 10:30 Introduction to Text Mining for Ecology. Definitions, applications, workflow, available tools GUI and CLI, ecological entities, towards trait definitions

(Ms Lydia KALAITZAKI, Operations Manager, Advance Services)

10:30 - 11:00 A presentation of the examined tools and challenges faced.

(Ms Lydia KALAITZAKI, Operations Manager, Advance Services)

11:00 – 12:00 A demonstration of the performance of the desirable text mining models/ Hands-on Training

(Ms Melina LOULAKAKI, Software Engineer, Advance Services & Christos Papacharalampous, Data Engineer, Advance Services)

12.00 - 12.30 Advice and further development plan (answers and questions session).

(Ms Lydia KALAITZAKI, Operations Manager, Advance Services)