Data Science & Analytics
Chemotext2
Description
Chemotext2 is a collaborative project with the UNC Eshelman School of Pharmacy seeking to develop a knowledgebase of potentially novel chemical-biological and entities-disease relationships, drawn from texts and abstracts in research journals. The project aims to extend the existing Chemotext database of similar relationships mined from abstracts that has been developed through a partnership between the School of Pharmacy and the UNC department of computer science. In addition to building a valuable science resource, Chemotext2 is an internally funded project that develops RENCI capabilities in knowledge networks and knowledgebases, text mining, machine learning, and ontologies. The work has helped to secure two related research grants: The Man to Molecule to Man project and the Data Translator project.
RENCI's Role
RENCI provides capabilities in knowledge networks and knowledgebases, text mining, machine learning, and ontologies.
