Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation - Université de Montpellier
Chapitre D'ouvrage Année : 2019

Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation

Alexis Joly
Hervé Glotin
Willem-Pier Vellinga
Robert Planqué

Résumé

Identifying and naming living plants or animals is usually impossible for the general public and often a difficult task for professionals and naturalists. Bridging this gap is a key challenge towards enabling effective biodiversity information retrieval systems. This taxonomic gap was actually already identified as one of the main ecological challenges to be solved during the Rio de Janeiro United Nations “Earth Summit” in 1992. Since 2011, the LifeCLEF challenges conducted in the context of the CLEF evaluation forum have been boosting and evaluating the advances in this domain. Data collections with an unprecedented volume and diversity have been shared with the scientific community to allow repeatable and long-term experiments. This paper describes the methodology of the conducted evaluation campaigns as well as providing a synthesis of the main results and lessons learned along the years.
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Dates et versions

hal-02273280 , version 1 (14-09-2022)

Identifiants

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Alexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, et al.. Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation. Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, Springer, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩. ⟨hal-02273280⟩
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