Semi-Automated Semantic Annotation of the Biomedical Literature

Positional Paper on a Semantic Web for Life Sciences

Our research primarily involves the application of natural language processing technology to biomedical literature in support of such applications as semi-automated functional annotation of proteins and genes, and gene name normalization for improved search and retrieval of text information. We have performed studies in the use of existing database resources in these efforts (Morgan, Hirschman ...

BIM: an open ontology for the annotation of biomedical images

Biomedical images published within the scientific literature play a central role in reporting and facilitating life science discoveries. Existing ontologies and vocabularies describing biomedical imag-­‐ es, particularly sequence images, do not provide sufficient seman-­‐ tic representation ...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Large-Scale Semantic Indexing of Biomedical Publications

Automated annotation of scientific publications in real-world digital libraries requires dealing with challenges such as large number of concepts and training examples, multi-label training examples and hierarchical structure of concepts. BioASQ is a European project that contributes a large-scale biomedical publications corpus for working on these challenges. This paper documents the participa...

Bridging the gap between social tagging and semantic annotation : E . D . the Entity Describer

Semantic annotation enables the development of efficient computational methods for analyzing and interacting with information, thus maximizing its value. With the already substantial and constantly expanding data generation capacity of the life sciences as well as the concomitant increase in the knowledge distributed in scientific articles, new ways to produce semantic annotations of this infor...