The application of text and data mining to enhance the RSC publication archive
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The Royal Society of Chemistry (RSC) is one of the world’s most prominent scientific societies and STM publishers. Our contributions to the scientific community include the delivery of a myriad of ...
The Royal Society of Chemistry (RSC) is one of the world’s most prominent scientific societies and STM publishers. Our contributions to the scientific community include the delivery of a myriad of resources to support the chemistry community to access chemistry-related data, information and knowledge. This includes ChemSpider, a compound centric platform linking together over 30 million chemical compounds with internet-based resources. Using this compound database and its associated chemical identifiers as a basis the RSC is utilizing text and data mining approaches to data enable our published archive of scientific publications. This presentation will provide an overview of our technical approaches to text and data enable our archive of scientific articles, how we are developing an integrated database of chemical compounds, reactions, physical and analytical data and how it will be used to facilitate scientific discovery.
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