Ontology highlight
ABSTRACT:
SUBMITTER: Jones DE
PROVIDER: S-EPMC3879259 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Jones David E DE Igo Sean S Hurdle John J Facelli Julio C JC
PloS one 20140102 1
In this study, we demonstrate the use of natural language processing methods to extract, from nanomedicine literature, numeric values of biomedical property terms of poly(amidoamine) dendrimers. We have developed a method for extracting these values for properties taken from the NanoParticle Ontology, using the General Architecture for Text Engineering and a Nearly-New Information Extraction System. We also created a method for associating the identified numeric values with their corresponding d ...[more]