Event extraction of bacteria biotopes: a knowledge-intensive NLP-based approach

Zorana Ratkovic (1) , Wiktoria Golik (1) , Pierre Warnier (1)

1 MIG - Unité Mathématique Informatique et Génome

Background: Bacteria biotopes cover a wide range of diverse habitats including animal and plant hosts, natural, medical and industrial environments. The high volume of publications in the microbiology domain provides a rich source of up-to-date information on bacteria biotopes. This information, as found in scientific articles, is expressed in natural language and is rarely available in a structured format, such as a database. This information is of great importance for fundamental research and microbiology applications (e.g., medicine, agronomy, food, bioenergy). The automatic extraction of this information from texts will provide a great benefit to the field.

Domaines: Mathématiques [math]; Informatique [cs]; Sciences du Vivant [q-bio]

Zorana Ratkovic, Wiktoria Golik, Pierre Warnier. Event extraction of bacteria biotopes: a knowledge-intensive NLP-based approach. BMC Bioinformatics, 2012, 13 (11), ⟨10.1186/1471-2105-13-S11-S8⟩. ⟨hal-02651077⟩