Down arrow

CENtree

Build the foundations for data sharing with our collaborative ontology management platform

SciBite’s ontology management platform CENtree provides a centralised, enterprise-ready resource for ontology management and transforms the experience of maintaining and releasing ontologies for research-led businesses. CENtree combines ease of use with cutting-edge artificial intelligence techniques to assist users, for example, by suggesting possible relationship connections for a given ontology class.

CENtree leverages machine learning techniques to support ontology management by suggesting parent classes, synonyms and relationship connections when adding new terms are being added. This, along with CENtree’s flexibility to introduce customized changes, that can be annotated to communicate edits across teams, is vital in producing ontologies that meet your needs. Download the CENtree datasheet or watch our webinar on Mastering Enterprise Level Ontologies for People and Applications.

Key benefits of CENtree

Centralising Ontology Management

At SciBite, we’re an advocate of FAIR data. CENtree uses open standards ensuring there is no ‘lock in’ to proprietary language or formats when managing ontologies. Users can upload locally-stored ontology files from public repositories and can specify if an entire ontology or a more specific subset should be imported.

When working with ontologies, version control is critically important. In CENtree, if users edit public ontologies, the changes can be reconciled with new releases. A merged view of the combined ontology highlights any conflicts, enabling curators to focus on things that need to be addressed.

Simplifying visualisation and curation

As with most visualisation techniques, there is no single ‘best’ way to view an ontology that fits all users and all applications. Some applications benefit from a tree view, while views providing an easily digestible high-level summary, such as heat maps or bubble diagrams will make more sense for others.

Tools that presents multi-relational ontologies in an easily consumable format have proved elusive. CENtree provides a simple interface to navigate and make common changes to ontologies, lowering the barrier for users to contribute to editing and reducing the bottleneck of having to rely on ontology experts.

We’ve designed a highly intuitive interface that allows users to easily add, replace or remove an ontology class, change its location in a hierarchy to reflect a new sub-class relationship, and enrich it with new metadata such as synonyms or text definitions.

Facilitating collaboration and integration

Ontologies by their mere definition should be around ‘shared knowledge’. In a global, multi-location business, collaboration it’s important as it’s a challenge to manage effectively. Therefore it’s increasingly common for there to be multiple contributors. However, ontologies are often managed in applications that lack traceability, which hinders collaborative working. From the outset, CENtree was built from the perspective of a multi-user environment.

Governance and provenance are an intrinsic part of the editing process. CENtree provides organisations with the ability to manage permissions by assigning roles and issues with the same term being edited by two different people simultaneously can be prevented.

Employing a Git-like approach, CENtree manages 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.

We’ve designed a highly intuitive interface founded on a flexible API which can be directly integrated into existing systems. Combining ontology management and semantic analytics capabilities of SciBite’s platform offers a unique approach in managing scientific information in the journey to clean data.

Latest features of CENtree

The latest CENtree 1.2 release includes powerful features that make creating, customising and visualising ontologies simpler, helping users build and maintain ontology standards and power applications. The latest features include:

  • Recreate custom application ontologies
  • Generate Diff reports to see edits made to an ontology
  • Merge the same classes from different
  • New Editor-Admin role
  • More export formats – including OWL/XML, OWL Functional Syntax, OWL Manchester Syntax, RDF/Turtle, RDF/n3, and JSON-LD
  • Control metadata properties
  • Improvements to results navigation including new graph view
  • Visualise obsolete classes
  • OPEN ID access and a new role

Learn more in our what’s new in CENtree 1.2 blog post.

Get in touch with the team to learn more about CENtree. Download the CENtree datasheet or watch our webinar on Mastering Enterprise Level Ontologies for People and Applications.

Download datasheet

Key product highlights

  • Collaborative

    Collaborative

    Democratises ontology editing so that ontology users can easily contribute, rather than rely solely on ontology experts, as well as browse and search the platform

  • Comprehensive

    Comprehensive

    Centralises and controls the process of consuming and editing external and internal ontology resources over time

  • Extensible

    Extensible

    Rich API simplifies integration with search and data capture applications, transforming the way you manage internal data to empower downstream insights through data mining and machine learning

CENtree product datasheet

Learn more about CENtree, our collaborative ontology management platform tailored to life sciences.

Download

Want to learn more about CENtree? Let us know and we'll get in touch to discuss.


Related articles

  1. A Semantic approach to creating Machine Learning training data using Ontologies, Wikipedia and not Sherlock Holmes

    SciBite's CTO James Malone explains how the semantic approach to using ontologies is essential in successfully training machine learning data sets. In this blog he discusses how Sherlock Holmes (amongst others) made an appearance when we looked to exploit the efforts of Wikipedia to identify articles relevant to the life science domain for a language model project.

    Read
  2. The power of open Ontologies in industry: The Allotrope Ontologies

    In this blog, find out how our next-generation ontology management tool CENtree can be used to manage the Allotrope ontologies.

    Read

How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us