Biodiversity literature and data constitute a vast public resource open to mining and knowledge extraction. Associating organisms to key features of their life, for example the environment in which they live, the way feed, their breeding habits, is cornerstone in explaining biodiversity patterns and informing ecological decisions. The Literature Mining virtual Lab (LM-vLab) aims at the automatic extraction of species - traits associations from the literature.

LM-vLab Publications

  • Pafilis, E., Frankild, S. P., Fanini, L., Faulwetter, S., Pavloudi, C., et al. (2013). The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. PLoS ONE 8(6): e65390
  • Pafilis, E., Buttigieg, P. L., Ferrell, B., et al. (2016). EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation. Database, baw005
  • Pafilis, E., Frankild, S. P., Schnetzer, J., et al (2015). ENVIRONMENTS and EOL: identification of Environment Ontology terms in text and the annotation of the Encyclopedia of Life. Bioinformatics (btv045)