Existing ontology-based knowledge representations systems have achieved considerable
success in semantic querying on large biomedical text corpora over keyword-based …

A semantic lexicon which associates words and phrases in text to concepts is critical for
extracting and encoding clinical information in free text and therefore achieving semantic …

The increasing interest of the biomedical community in ontologies can be exemplified by the
availability of hundreds of biomedical ontologies and controlled vocabularies, and by the …

Clinical terminologies and ontologies are often used in natural language processing/
understanding tasks as a method for semantically tagging text. One ontology commonly …

CLEF eHealth 2013 Task 1 requires participants to perform named entity recognition and
normalization of disorder mentions from clinical reports, where two important questions need …

Background Semantic similarity analysis facilitates automated semantic explanations of
biological and clinical data annotated by biomedical ontologies. Gene ontology (GO) has …

The volume of publicly available data in biomedicine is constantly increasing. However,
these data are stored in different formats and on different platforms. Integrating these data …

Reusing ontologies and their terms is a principle and best practice that most ontology
development methodologies strongly encourage. Reuse comes with the promise to support …

Objective The main goal of this work is to measure how lexical regularities in biomedical
ontology labels can be used for the automatic creation of formal relationships between …