Early in 2014 the Encyclopedia of Life (EOL) released its new version, along with Traitbank, its novel data search facility. Among other innovative biodiversity research features, Jennifer Hammock, Patrick Leary, Katja Schulz, Cyndy Parr (and anyone else I may be omitting) have incorporated ENVIRONMENTS-EOL predictions into the EOL system.
- the handling of multiple EnvO identifiers having been mapped to a term by the curators, and/or being returned by the tagger
- the hierarchical relationship of curated/predicted terms according to EnvO
- the NER evaluation for distinct EnvO sub-graphs only (e.g. only for environmental features, or habitats, or environmental materials)
- the NER evaluation for the different EOL Species page sections (e.g. only for "Habitat", or "Distribution", or "Taxon Biology")
Heatmaps and tagclouds (see below) were generated to visualise the text mining results: species - EnvO term associations based on simple term counts.
Employed in a higher eukaryote context, the same tools can still support knowledge exploration e.g. by highlighting rare/frequent habitats, species habitat breadth, and intra-taxon environment association differences.
An even user-friendlier, interactive version of the graphicsis under way in collaboration with Dr. Umer Ijaz, Uni. of Glasgow.