Biomedical ontologies play an important role for information extraction in the biomedical
domain. We present a workflow for updating automatically biomedical ontologies, composed …

The Unified Medical Language System (UMLS) contains two separate but interconnected
knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower …

The increasing interest in biomedical ontologies has provoked the development of a
significant number of ontologies, and many more are expected to be produced in the near …

We present a system for ontology based annotation and indexing of biomedical data; the key
functionality of this system is to provide a service that enables users to locate biomedical …

Ontologies reuse in biomedicine faces several challenges, which include the complexity of
the domain and the articulation of different vocabularies, many of them with thousands of …

Background Researchers in biomedical informatics use ontologies and terminologies to
annotate their data in order to facilitate data integration and translational discoveries. As the …

Background Biomedical ontologies contain a wealth of metadata that constitutes a
fundamental infrastructural resource for text mining. For several reasons, redundancies exist …

Ontologies in the biomedical domain are becoming a key element for data integration and
search. The usefulness of the applications which use ontologies is often directly influenced …

Background Ontologies are widely used across biology and biomedicine for the annotation
of databases. Ontology development is often a manual, time-consuming, and expensive …

Motivation: Ontologies are an everyday tool in biomedicine to capture and represent
knowledge. However, many ontologies lack a high degree of coverage in their domain and …