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Enabling Better 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, and
  • 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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    Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.

  2. Using the SciBite Knowledge Graph to Explore Biomedical Literature

    “Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.


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