Objectives: We present a review of recent advances in clinical Natural Language Processing
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …

The Semantic Web can be conceived as an extension of the current Web where information
is given well-defined meaning. In this scenario ontologies are crucial since they provide …

The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …

Background Secondary use of health data is a valuable source of knowledge that boosts
observational studies, leading to important discoveries in the medical and biomedical …

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 …

Reuse of ontologies is important for achieving better interoperability among health systems
and relieving knowledge engineers from the burden of developing ontologies from scratch …

Objectives To provide typical examples of biomedical ontologies in action, emphasizing the
role played by biomedical ontologies in knowledge management, data integration and …

It is becoming impossible to contemplate successful bio-medical research without canonical
data structures. The biomedical computation community finds itself grappling with hundreds …

Building the Semantic Web requires the use of powerful tools to create, manage and extend
domain ontologies represented with Semantic Web languages. Though many tools have …