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Benefits to centralised ontology management with CENtree [Datasheet]

Bio-IT Best Show 2022 Trophy

Ontologies play a critical role in semantic enrichment, enabling unstructured scientific text to be transformed into clean, contextualised data which can be understood and exploited by computational approaches, such as artificial intelligence.

Managing multiple and evolving ontologies from public and proprietary sources requires significant effort and presents organisations with challenges around control and interoperability. SciBite has created CENtree, a collaborative ontology management platform that delivers easy-to-use ontology management capabilities built on a flexible and robust enterprise-ready platform.

  • COLLABORATIVE – Democratises ontology editing
  • COMPREHENSIVE – Centralises and controls editing
  • EXTENSIBLE – Rich API simplifies integration with search

Rapid access

CENtree has been designed to recognise and ingest multiple publicly available ontologies (currently +80 Ontologies) using an easy one-click loading mechanism. Ontology browsing is oriented around a tree or graph view tailored to visualise biomedical ontologies, their entities, and their relationships. Complex language associated with formal ontologies is replaced with user-friendly terminology.
CENtree enables the creation of custom ontologies from both public and proprietary ontologies, with the steps for creating these application ontologies stored and replayable for ease of update.


Collaborative and Comprehensive

Ontology editing activates an overlay which makes the browser editable. Adding new classes and editing/ enriching existing classes is simplified to enable a broader audience to contribute. Edits are captured using open standards to make the resulting ontology reusable elsewhere. A deep learning component helps a user to edit by suggesting possible relationship connections for a given class.
Provenance is captured for every edit action, with user comments to explain edits, and the ability to roll back from an undesired change. A governance model controls the ability to affect change through roles such as ‘suggestor’ (can suggest an edit), ‘editor’ (can make live edits and approve suggestions), ‘viewer’ (can browse), ‘editor-admin’ (can administer designated ontologies) and ‘administrator’ (can perform all tasks and add ontologies).



CENtree employs a Git-like approach to managing change with our custom versioning engine, empowering an organisation to keep current with the latest public versions, whilst internally adding new content such as extending with new classes or fixing errors. The CENtree interface is founded on a flexible API which can be directly integrated into existing systems. As a SaaS (Software as a Service) solution, CENtree is secure and simple to deploy, includes seamless product upgrades, along with expanded infrastructure support and Professional Services to support integrations and ontology curation and advice. Combining master data management and semantic analytics capabilities of SciBite’s platform offers a unique approach in managing scientific information in the journey to clean data.

Download the CENtree datasheet.

Related articles

  1. Using ontologies to unlock the full potential of your scientific data – Part 1

    In the first of this two-part blog, I describe what ontologies are and how you can use them to make the best use of scientific data within your organisation.

  2. Using ontologies to unlock the full potential of your scientific data – Part 2

    This blog post focuses on mapping, building, and managing ontologies. In my previous blog, I described what ontologies are and how you can use them to make the best use of scientific data within your organization. Here I’ll expand upon this and focus on mapping, building, and managing ontologies.


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