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

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

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on
“Managing Interoperability and Complexity in Health Systems”. Objectives: In previous work …

Medical terminologies and ontologies are important tools for natural language processing of
health record narratives. To account for the variability of language use, synonyms need to be …

Abstract To bring the Life Sciences domain closer to a Semantic Web realization it is
fundamental to establish meaningful relations between biomedical ontologies. The …

Background We are currently facing a proliferation of heterogeneous biomedical data
sources accessible through various knowledge-based applications. These data are …

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

Second use of clinical data commonly involves annotating biomedical text with
terminologies and ontologies. The National Center for Biomedical Ontology Annotator is a …

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

While the biomedical informatics community widely acknowledges the utility of domain
ontologies, there remain many barriers to their effective use. One important requirement of …