The integration of heterogeneous data is a major research challenge in Life Sciences. The importance and the volume of information on the environments of microorganisms in all areas such as health, agriculture or environment has prompted the development of automated processes. We describe the design principles of the OntoBiotope ontology, and its use for the automatic annotation and indexing of microbial habitats described in natural language in scientific documents.