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Enabling data discoverability: Leveraging semantics for intelligent scientific search [Use Case]

Search + business intelligence

SciBite Search delivers intelligent scientific search to everyone, you don’t have to be a search expert. Its modern, easy-to-use interface provides scientists with access to domain-specific ontology and AI-powered search capabilities to quickly find the answers they need while also providing sophisticated text-mining capabilities for deeper and more exploratory queries.

SciBite Search enables users to search both unstructured and structured information across:

  • Public biomedical sources, such as Medline and Clinical
  • Subscription content from providers such as Elsevier, Wiley, and Springer
  • Internal and external documents

Document-level security and role-based permissions ensure that access to proprietary information is controlled.

Here we highlight just a selection of the many applications of SciBite Search.

To learn more, download the full use case.

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    SciBite launches AI-driven semantic search platform to help manage data deluge. Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.

  2. Creating a SciBite VOCab from a public ontology

    Public ontologies are essential for applying FAIR principles to data but are not built for use in named entity recognition pipelines. At SciBite, we build on the public ontologies to create VOCabs optimized for NER. In this blog, discover how we create a SciBite VOCab from a Public Ontology.


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