SciBite text analytics and data enrichment tools help you get more from your data

SciBite’s ontology management platform CENtree opens in new tab/window is a centralized, enterprise-ready resource for ontology management. CENtree transforms how to maintain and release ontologies for research-led businesses.

• Ingest multiple publicly available ontologies with one-click loading

• Create custom ontologies from public and proprietary ontologies

• Gain downstream insights through data mining and machine learning

• Easily contribute and collaborate to ontology editing in a democratized process

• Discover possible relationship connections for a given class via a deep learning component

TERMite opens in new tab/window (TERM identification, tagging and extraction) is a named entity recognition and extraction engine. TERMite is:

• Interoperable: Maps your data to public ontologies to improve data interoperability

• Ultra-fast: Processes millions of documents, e.g., the entire MEDLINE database or internal documents in minutes

• Robust:

  • Enterprise-grade and scalable to billions of documents

  • Data mines millions of documents to identify critical mentions and relationships

  • Distinguishes “throwaway mentions” from terms that really matter

  • Applies rich vocabularies with over 20 million synonyms in 80+ topics

Workbench opens in new tab/window is a visual interface that allows users to annotate and cleanse tabular data, helping you build semi-automated, repeatable and scalable data FAIRification processes. Index and resolve entries to a selected standard using SciBite’s TERMite and VOCab technologies.

Workbench is:

• Intuitive: Interactive sheet for fast and simple curation of data with terminology standards

• Automated: Reproducible annotations using VOCabs or public/private ontologies

• Repeatable: Store annotations and share rules to reduce the time to curate new data

SciBite Search opens in new tab/window enables discovery across structured and unstructured public and proprietary data. It automates semantic enrichment and annotation, transforming unstructured scientific text into clean, contextualized data free from ambiguities like synonyms.

• Load and search across millions of documents from a variety of sources, such as MEDLINE, clinicaltrials.gov and Sharepoint

• Search structured database-type information and unstructured data, like Word docs, PowerPoints and PDFs

• Leverage domain-specific ontologies — answer complex questions and build a semantically linked network of documents