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 …

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 …

We present a system for ontology based annotation and indexing of biomedical data; the key
functionality of this system is to provide a service that enables users to locate biomedical …

This paper describes the development and testing of the Medical Concept Mapper, a tool
designed to facilitate access to online medical information sources by providing users with …

Objective To create a multilingual gold-standard corpus for biomedical concept recognition.
Materials and methods We selected text units from different parallel corpora (Medline …

Background Concept recognition is an essential task in biomedical information extraction,
presenting several complex and unsolved challenges. The development of such solutions is …

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 …

Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …

The National Center for Biomedical Ontology Annotator is an ontology-based web service
for annotation of textual biomedical data with biomedical ontology concepts. The biomedical …