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

Background Despite a wide adoption of English in science, a significant amount of
biomedical data are produced in other languages, such as French. Yet a majority of natural …

Abstract The National Center for Biomedical Ontology (NCBO) is developing a system for
automated, ontology-based access to online biomedical resources. The system's indexing …

Background Ontological concepts are useful for many different biomedical tasks. Concepts
are difficult to recognize in text due to a disconnect between what is captured in an ontology …

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

Semantic annotation using biomedical ontologies is required to enable data integration,
interoperability, indexing and mining of biomedical data. When used to support semantic …

The range of publicly available biomedical data is enormous and is expanding fast. This
expansion means that researchers now face a hurdle to extracting the data they need from …

Background Biomedical ontologies are critical for integration of data from diverse sources
and for use by knowledge-based biomedical applications, especially natural language …

Background Standard ontologies are critical for interoperability and multisite analyses of
health data. Nevertheless, mapping concepts to ontologies is often done with generic tools …

Large volumes of electronic health records, including free-text documents, are extensively
generated within various sectors of healthcare. Medical concept annotation systems are …