Cambridge, UK – We are pleased to announce that SciBite’s ontology management platform CENtree won ‘Best of Show’ at this year’s Bio-IT World 2022 Conference and Expo. The Bio-IT World Best of Show Awards offer exhibitors of the Bio-IT World Conference & Expo an exclusive opportunity to distinguish and highlight their products, ranging from an innovative application, technology, tool, or solution, from the competition. This awards program identifies exceptional innovation in technologies used by life science professionals today.
Simon Jupp, Head of Semantic Technology and Project lead for the CENtree team said, “CENtree allows our customers to develop a shared understanding of their data, combining ease of use with cutting-edge artificial intelligence techniques. Organizations recognise that data assets from internal and external sources drive R&D. Therefore, it is crucial to manage data to enable data use and reuse effectively. CENtree assists users by suggesting possible relationship connections for a given ontology class.”
In response to the news of the award, SciBite’s CEO & President, Rob Greenwood said: “This award recognizes the hard work of our team in creating a user-friendly, efficient, and robust solution to collaborative ontology management. Since its launch, CENtree has been revolutionizing how Life Sciences organizations manage and release ontologies. We believe that data fuels discovery, and our technology help businesses innovate and get more from their data.”
The Bio-IT World Conference & Expo is the world’s premier event showcasing the technologies and analytic approaches that solve problems, accelerate science, and drive the future of precision medicine. The event unites a community of leading life sciences, pharmaceutical, clinical, healthcare, informatics, and technology experts in biomedical research, drug discovery & development, and healthcare from around the world.
Bio-IT World Best of Show Awards 2022
The 2022 Best of Show Awards offer exhibitors of the Bio-IT World Conference & Expo an exclusive opportunity to distinguish and highlight their products, ranging from innovative applications, technology, tool, or solution, from the competition. The Bio-IT World community is invited to identify exceptional innovation in technologies used by life science professionals, voting on the most impactful new products of the year.
SciBite’s data-first, semantic analytics software is leading the way with its pioneering infrastructure that combines the latest in machine learning with an ontology-led approach to unlock the value of scientific content. With headquarters in the UK, SciBite supports its global customer base with additional sites in the US and Japan.
CENtree combines ease of use with cutting-edge semantic technologies to manage and deploy ontologies, at scale, across an organization. CENtree addresses some fundamental challenges in ontology management, such as version control, change management, governance, and ontology alignment, in a highly accessible and user-friendly interface. CENtree’s Application Ontology builder is incredibly innovative and demonstrates how CENtree can support the reuse of public standards whilst allowing application-specific customisations. This is coupled with CENtree’s API-first architecture that provides entry points for other systems to access and integrate ontologies at scale. The Forms API is an example of how CENtree can be utilized in third-party data capture systems to ensure data is “Born FAIR” by guiding users to use appropriate ontology standards.
SciBite, the data first, semantic analytics software company, today announced being named as a winner of the Queen’s Award for Enterprise in Innovation – the highest official UK awards for businesses.Read
At SciBite terminologies underpin all that we do. There are many ways to represent and build a standardised terminology, each with different levels of complexity. On one hand you have simple, informal, lightweight terminologies (e.g., glossaries, dictionaries, and thesauri), where the meaning (semantics) of terms is captured using natural language.Read
Get in touch with us to find out how we can transform your data
© Copyright © 2023 Elsevier Ltd., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies.