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Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
SciBite / Knowledge Hub / Resources / SciBite and resource description framework (RDF): A natural (semantic) fit [Whitepaper]
Data-driven drug development promises to enable pharmaceutical companies to derive deeper insights and make faster, more informed decisions. A fundamental step to achieving this nirvana is important to be able to make sense of the information available and to make connections between disparate, heterogeneous data sources.
The primary role of Resource Description Framework (RDF) is to store meaning with data and represent it in a structured way that is meaningful to computers.
Through semantic enrichment, SciBite enables unstructured documents to be converted to RDF, providing the high quality, contextualised data needed for subsequent discovery and analytics to be effective.
To find out more, download the full whitepaper.
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