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

Semantic annotation is part of the vision for the semantic web. Ontologies are required for
this task, and although they are in common use, there is a lack of annotation tools for users …

As the use of ontologies for annotation of biomedical data-sets rises, a common question
researchers face is that of identifying which ontologies are relevant to annotate their …

Background Semantic approaches such as concept-based information retrieval rely on a
corpus in which resources are indexed by concepts belonging to a domain ontology. In …

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

Semantic annotation enables the inclusion of semantic information (ontology concepts),
readable through software agents, into the most varied types of documents available on the …

This paper presents a study about the impact of contexts in automatic semantic annotation
over cross-lingual biomedical resources. Semantic annotation consists in associating parts …

This paper deals with the problem of maintenance of semantic annotations produced based
on domain ontologies. Many annotated texts have been produced and made available to …

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 …

The annotation of entities with concepts from standardized terminologies and ontologies is
of high importance in the life sciences to enhance semantic interoperability, information …