PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance

PADI-web (Platform for Automated extraction of animal Disease Information from the web) is a biosurveillance system dedicated to monitoring online news sources for the detection of emerging animal infectious diseases. PADI-web has collected more than 380,000 news articles since 2016. Compared to other existing biosurveillance tools, PADI-web focuses specifically on animal health and has a fully automated pipeline based on machine-learning methods. This paper presents the new functionalities of PADI-web based on the integration of: (i) a new fine-grained classification system, (ii) automatic methods to extract terms and named entities with text-mining approaches, (iii) semantic resources for indexing keywords and (iv) a notification system for end-users. Compared to other biosurveillance tools, PADI-web, which is integrated in the French Platform for Animal Health Surveillance (ESA Platform), offers strong coverage of the animal sector, a multilingual approach, an automated information extraction module and a notification tool configurable according to end-user needs.

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Bibliographic Details
Main Authors: Valentin, Sarah, Arsevska, Elena, Rabatel, Julien, Falala, Sylvain, Mercier, Alizé, Lancelot, Renaud, Roche, Mathieu
Format: article biblioteca
Language:eng
Published: Elsevier
Subjects:fouille de textes, santé animale, surveillance épidémiologique, analyse de données, maladie des animaux, système d'alerte rapide, maladie infectieuse, système d'information, http://aims.fao.org/aos/agrovoc/c_dca12b72, http://aims.fao.org/aos/agrovoc/c_431, http://aims.fao.org/aos/agrovoc/c_16411, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_426, http://aims.fao.org/aos/agrovoc/c_37871, http://aims.fao.org/aos/agrovoc/c_34024, http://aims.fao.org/aos/agrovoc/c_11769,
Online Access:http://agritrop.cirad.fr/599828/
http://agritrop.cirad.fr/599828/1/Valentin_OneHealth2021.pdf
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