There are a number of services and resources available to the bioinformatics community, but meta-data that describe them is typically scarce. This project aims to develop text mining techniques to automatically describe, locate, retrieve and reason about bioinformatics services and resources. We investigate methods that extract descriptions from various document types (articles, reviews, application notes, email archives, discussion forums, etc), and map them to service descriptions using both general service ontologies and domain-specific ontologies. As a working and target environment, the project uses the myGRID/Taverna infrastructure.