… in biomedicine. The present study aims to 1) survey historical footprints, emerging
technologies, and the existing challenges in the use of UMLS resources and tools, and 2) …

… landscape of deep learning research in biomedicine … biomedical research problems. We
expect the results of this study to help researchers and communities better align their present …

… on the semantic annotation and integration of heterogenous data into a common semantic
landscape that supports semantic … Semantic annotation in biomedicine: the current landscape. …

… view of the current landscape of neural approaches of semantic search research in the …
semantic annotation is an enriched text, which serves as the essential basis of any semantic …

… of the fine-grained semantic indexing within the landscape of … questions motivating this work
and present the adopted approach. In … As golden fine-grained semantic annotations are not …

… Furthermore, we present an interactive website that allows … To annotate our atlas, we chose
a set of 38 labels covering basic life … this fraction to be representative of the whole landscape. …

… biomedicine, which assert to cover all biomedical subdomains, and b) use case-specific
annotators for biomedicine… Bagheri, “Semantic annotation in biomedicine: the current landscape,…

… contained in the ontologies present in the BioPortal and UMLS methasaurus repositories;
for this reason has considerable importance in the biomedical field, being an annotator used …

… Such ontology-based semantic annotations can improve the … in health care practice and
biomedical research. However, due … Semantic annotation in biomedicine: the current landscape. …

… semantic annotation of COVID-19-related clinical documents. It demonstrates the utility of a
hybrid mapping approach integrated with annotation … to the changing landscape of data and …