There is an overwhelming amount of information in the health fields and in research that remains untapped. In addition, even in commercial laboratories there are free flowing unstructured notes that may for example express an interesting phenotype for a lab mouse. This information is mostly unstructured, and even though a standard search engine may help sort this information, it is difficult to hone in on the subject of interest, without having to sift through a lot of irrelevant information.
Protonomics is currently developing a UMLS based ontology search engine to address this problem. The engine processes high volumes of medically and biologically relevant data and classifies them according to relevance to UMLS.
This product will be offered as a service free to use and is expected to launch Q1 of 2010.