=Paper=
{{Paper
|id=Vol-1747/BT302_ICBO2016
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1747/BT302_ICBO2016.pdf
|volume=Vol-1747
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1747/BT302_ICBO2016.pdf</pdf>
<pre>
   Annotations for biomedical research and healthcare
                                                        Bridging the gap


                                                        Olivier Bodenreider
                                                  U.S. National Library of Medicine
                                                    National Institutes of Health
                                                        Bethesda, MD USA
                                                        olivier@nlm.nih.gov


     Abstract— Characterizing protein products from various              We will discuss how terminology integration systems, such as
model organisms with Gene Ontology terms, indexing the               the Unified Medical Language System (UMLS) and BioPortal,
biomedical literature with MeSH descriptors, and coding clinical     can help bridge the gap between annotations made by biomedical
data with ICD10-CM all constitute examples of annotation tasks,      researchers and physicians, and argue that more efforts are
i.e., the extraction and summarization of knowledge related to a     needed to foster interoperability between the resources developed
biological entity, article or patient, in reference to some          by these two communities.
controlled vocabulary or ontology.
                                                                       Keywords— Annotations; biomedical literature; clinical data;
    However, the annotations made in biomedical research and         UMLS; BioPortal
healthcare environments tend to rely on different terminologies
and ontologies, making it difficult to reconcile these annotations
for translational research purposes.

</pre>