Efficiently extracting knowledge from the published literature is a challenge faced by many database projects in biology, and many of us are interested in tools that can assist and speed up the task of identifying concepts in free text. I’ve recently used two text markup tools that are helpful in keeping up with the literature and rapidly developing ontologies. As a participant in the Fifth BioCreative Challenge, in which biocurators test and evaluate text mining systems, I evaluated the EXTRACT bookmarklet tool. EXTRACT was developed for metagenomics data and provides full-page tagging of mapped terms from environment, disease, taxonomy, and tissue ontologies, and can also markup shorter selections of text on an HTML page. The tool is immediately useful, particularly during the first stages of the curation process, as a curator is surveying the literature for relevant articles.
Annotating long, descriptive text has also been a challenge for Phenoscape. To assist curators in this task, we recently added a text annotator tool to the Phenoscape Knowledgebase that tags selected text passages copied in from a source with matched terms from anatomy (Uberon), taxon (VTO), and quality (PATO) ontologies. Viewing the annotated results, with color-coded text, has aided curators in the process of applying large, complex ontologies to equally complex text.