The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...) naming of genes, proteins, and other molecular structures, considerable efforts are under way to reduce the effects of the different naming conventions which have been spawned by different groups of researchers. Electronic patient records, too, increasingly involve the use of standardized terminologies, and tremendous efforts are currently being devoted to the creation of terminology resources that can meet the needs of a future era of personalized medicine, in which genomic and clinical data can be aligned in such a way that the corresponding information systems become interoperable. (shrink)

Few ontologies in the ecological domain exist, but their development can take advantage of gained experience in other domains and from existing modeling practices in ecology. Taxonomies do not suffice because more expressive modeling techniques are already available in ecology, and the perspective of flow with its centrality of events and processes cannot be represented adequately in a taxonomy. Therefore, formal ontologies are required for sufficient expressivity and to be of benefit to ecologists, which also enables future reuse. We have (...) created a formal mapping between the software-supported ecological modeling method and software tool STELLA and ontology elements, which simplifies bottom-up ontology development considerably and has excellent potential for semi-automated ontology development. However, the conducted experiments also revealed that ontology development for ecology is close to being part of ecological research that through the formalized representation of the knowledge more clearly points to lacunas and suggestions for further research in ecology. (shrink)