Smart search engines are an ubiquitous feature of modern life. Harnessing intelligent search features including domain-aware, contextual, predictive and assistive suggestions with our powerful semantic search platform, SciBite has created SciBite Search.
This next-generation text analytics semantic search tool enables researchers to quickly find meaningful insights from public and proprietary biomedical data and is designed for departments wanting their own tailored search tool. Non-expert or expert users can search structured database-type information and unstructured data, like Word documents, PowerPoint presentations and PDFs.
To read more, download the full product datasheet.
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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.
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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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