EnvMine: A text-mining system for the automatic extraction of contextual information

Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of their physicochemical characteristics, allowing a direct comparison between different environments that would be difficult to do otherwise. Also the characterization must include the precise geographical location, to make possible the study of geographical distributions and biogeographical patterns. Currently, there is no schema for annotating these environmental features, and these data have to be extracted from textual sources (published articles). So far, this had to be performed by manual inspection of the corresponding documents. To facilitate this task, we have developed EnvMine, a set of text-mining tools devoted to retrieve contextual information (physicochemical variables and geographical locations) from textual sources of any kind. Results: EnvMine is capable of retrieving the physicochemical variables ...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Javier Tamames, Victor de Lorenzo
• Keywords: BMCBI 2010, Geographical Locations, Physicochemical, Textual Sources