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. 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.
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.
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 present 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.
Ontologies by their mere definition should be around ‘shared knowledge’. In a global, multi-location business, collaboration is 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 allows organisations to manage permissions by assigning roles; therefore, 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.
As a Software-as-Service (SaaS) 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. For more details take a look at our SaaS FAQs.
The latest CENtree 2.2 release contains several new features and improvements designed to help you manage your ontologies easier.
Learn more about our previous release in the CENtree 2.0.1 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.
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
Centralises and controls the process of consuming and editing external and internal ontology resources over time
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
Learn more about CENtree, our collaborative ontology management platform tailored to life sciences.Download
Main contact form.
SciBite's CTO 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
In this blog, find out how our next-generation ontology management tool CENtree can be used to manage the allotrope ontologies.Read
Get in touch with us to find out how we can transform your data
© SciBite Limited / Registered in England & Wales No. 07778456