Please enter your details to get this file.


SciBite & RDF: A Natural (Semantic) Fit Whitepaper

SciBite & 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.

Related articles

  1. GSK Japan Selects SciBite Semantic Platform to Enhance Pharmacovigilance Capabilities

    SciBite today announced that GSK Japan, one of Japan’s leading research-based pharmaceutical and healthcare companies, has selected SciBite’s Semantic Platform to enhance pharmacovigilance capabilities and deliver on its commitment to improve the quality of human life.

    Read
  2. Drug Repurposing, Rare Diseases and Semantic Analytics

    In this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.

    Read

How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us