An open source machine learning framework to automatically map concepts in an ontology to text. OntoNorm maps the protein-protein interaction (PPI) relevant articles with corresponding interaction method nodes in a standardized PSI-MI (Proteomics Standards Initiative-Molecular Interactions) ontology. This framework obtains competitive performance compared with other similar programs when applied on tasks to identify articles that contain PPI data and to identify methods from an ontology that were used to study these interactions.
University of Wisconsin-Milwaukee, Milwaukee, WI, USA; Department of Computer Science and Electrical Engineering, College of Engineering and Applied Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
OntoNorm funding source(s)
This work was supported by the National Library of Medicine, grant number 5R01LM009836.