We’re excited to announce the v2.0 release of SciBite Search, SciBite’s next-generation text analytics scientific semantic search tool. SciBite Search allows researchers to quickly find meaningful insights from public and proprietary data, either by free text searching or using a rich array of Life Science vocabularies and taxonomies. The intuitive user interface, coupled with flexible content loading and custom vocabularies, along with a host of personalisation options, enables organisations to better serve biomedical search and discovery.
In this release, we’ve expanded data connectivity, broadening the sources you can load and search, as well as added a host of features that improve the user experience.
SciBite is proud to be data agnostic, allowing you to load, index and analyse more of the data that matters to you. In this release we’ve made it possible to easily ingest content from several popular Elsevier resources and search the documents and metadata for important insights **.
Our tools work together to make managing and leveraging your data more seamless. Integrate vocabularies and ontologies created in CENtree, SciBite’s ontology management platform, or load TERMite bundles, so that you can use the vocabularies, taxonomies, and bundles to semantically search and quickly find the information you need from the public and proprietary datasets within SciBite Search.
We’re always working to make things easier. With the addition of improved PDF viewing, a dark mode setting, and the ability to export data in a bibliographic format, SciBite Search continues to evolve to meet its customers needs.
** Please contact Elsevier for data licensing for Elsevier resources.
SciBite announces the release of SciBite AI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data.Read
Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.Read
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