Extracting structured data from literature, patents and documents using various text mining techniques and technologies is an established part of the process of building knowledge repositories for drug discovery. There is an increasing interest from research areas outside of drug discovery to make use of such techniques to de-silo data and build knowledge graphs, e.g. for chemical manufacturing, consumer products, and other fields. This talk will give an overview of the opportunities and challenges faced in building up systems to extract the data to build semantic searches and knowledge graphs.

De-siloing data and building knowledge graphs outside of drug discovery: Opportunities and challenges

ACS Spring 2022

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