Use Cases

Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Gartner report

Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications

 

Access report

Knowledge Hub

Explore expert insights, articles, and thought leadership on scientific data challenges.

Knowledge Hub

Resources

Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.

Resources

Events

Join us at upcoming events and webinars to learn more about SciBite solutions.

Events

News

Stay informed with the latest SciBite updates, announcements, and industry news.

News

About SciBite

Explore SciBite’s full suite of solutions to unlock the potential of your data.

Discover more about us

Our Partners

We build powerful partnerships with world-leading organizations.

Our Partners

CENtree Ontology Manager Effective management of ontology and terminology standards is crucial for ensuring clarity, consistency, and interoperability across diverse datasets. As research-led organizations increasingly rely on AI and machine learning technologies, maintaining clean and well-defined data becomes imperative for driving accurate insights and fostering innovation.

SciBite has developed CENtree to tackle the real-world challenge of managing and governing business standards and terminologies at scale. With a strong emphasis on usability, we’ve created a platform that democratizes collaboration among subject matter experts, enabling them to build and refine business ontologies together. Whether you aim to enhance data interoperability or extract insights from your information assets, CENtree empowers businesses to transform their data landscape and achieve strategic goals.

Why choose CENtree?
Icon - Collaborative
Collaborative

Enable real-time contributions from multiple users for effective team collaboration in taxonomy and ontology development

Governance for controlled access and assign different user roles such as suggester and editor

Detailed provenance tracking and version control to track changes to terminologies over time

Support for deprecation and obsoletion of terms and the ability to rollback and revert changes

Icon - Secure
Standards

CENtree is built on industry standards, empowering users to leverage rich ontology modeling languages

Support for W3C standards such as OWL, OBO as SKOS/ SKOS-XL in addition to plain old CSV for import and export

Rich querying via the W3C querying language SPARQL and advanced query interface provided via a REStful API

Real-time data quality and validation checks in addition to support for rich validations checks using the SHACL standard

Icon - Advanced
Scalability

Designed with scalability in mind, CENtree can accommodate terminologies spanning millions of concepts and synonyms often found in scientific domains

Scalable collaborative environment for editing and managing your organisations ontologies and terminologies

Bulk edit and import features using a rich CSV -based templating format built on the Quick Term Template (QTT) standard

Use ontology or terminology “diffs” to quickly compare two versions

Icon - Versatile
Interoperability

CENtree promotes the reuse and dissemination of your standards via a rich set of export formats and APIs

A novel mechanism for creating derivative ontologies (known as Application Ontologies), that allows you to manage combinations and subsets of existing ontologies to serve one or more dedicated applications

AI-assisted development based on an intelligent ontology-building assistant powered by a large language model (LLM)

Overview Controlled with a user-friendly interface and supported by artificial intelligence (AI) and machine-learning (ML)

CENtree will transform your relationship with ontologies, enabling you to maintain, release, edit and share them across your team. Build on existing ontologies or develop your own to reflect the specific languages, classes and terminologies used in your sector or your particular business.

Click on image to enlarge

How CENtree can help you Use public or custom ontologies and terminologies to get insights from textual data

Make searching more relevant – Customise ontologies or terminologies to enhance the analysis of your unstructured textual data, including literature or old electronic lab notebooks. These ontologies can be used with TERMite, SciBite’s named entity recognition tool. 

Use CENtree to clean structured data

Need to align experimental data to a common standard? Use CENtree’s public ontologies, SciBite’s extensive vocabularies, or create your own standard. These terminologies can then be used with SciBite’s Workbench to harmonize terms recorded in Excel, CSVs, or TSVs.

Use CENtree for standardised data capture

Use CENtree to build strict vocabularies, ensuring data is consistently recorded, for example in use cases where researchers are required to log experiments in electronic lab notebooks.

Similarly, use custom terminologies created in CENtree to record consistent metadata within your manufacturing process, or use it to manage your reference data, ensuring you conform to the latest standards.

Take a closer look at CENtree

If you’re looking for a simpler way to help you and your team manage multiple and constantly evolving ontologies, CENtree could genuinely revolutionize the way you work. For more details on our support framework, visit our Service Level Agreement page.

Download datasheet
Industry Verticals

Toggle between industries to explore how CENtree can assist different industries.

In the rapidly evolving field of Life Sciences, effective data management is essential for driving innovation and improving research outcomes. CENtree provides specialized tools to enhance clarity, consistency, and interoperability across complex datasets. Here are some key applications of CENtree in Life Sciences: 

  • Ontology deployment: Tag genes, drugs, and diseases to identify novel research targets, enabling precise navigation through vast datasets. 
  • Bioassay integration: Search across bioassay datasets to evaluate the biological activity and toxicity of compounds, ensuring quicker assessments. 
  • FAIR data compliance: Utilize standardized terminologies in Electronic Laboratory Notebooks (ELNs) to ensure data is “born” FAIR (Findable, Accessible, Interoperable, Reusable). 
  • Collaboration across disciplines: Foster teamwork with a shared vocabulary that bridges various areas of expertise, enhancing communication and alignment. 

By utilizing CENtree in Life Sciences, organizations can enhance their data management practices, drive innovation, and ultimately improve patient outcomes and research effectiveness. 

CENtree revolutionizes data management in the Chemical industry, driving efficiency and compliance: 

  • Standardized classification: Utilize standardized classifications for chemical compounds to efficiently search and compare chemical data, enhancing research accuracy. 
  • Compliance management: Simplify the management of compliance documentation and reporting, ensuring adherence to regulatory standards with ease. 
  • Data integration: Integrate diverse datasets to create a cohesive view of chemical information, facilitating better decision-making and insights. 
  • Collaboration tools: Foster collaboration among chemists and researchers with a shared vocabulary, ensuring consistent terminology across projects. 
  • Enhanced search capabilities: Improve search functionalities by leveraging structured ontologies that enhance the retrieval of relevant chemical information. 

By implementing CENtree, organizations in the Chemical sector can streamline operations, ensure compliance, and enhance data utilization for better outcomes. 

CENtree transforms data management in the Manufacturing sector, promoting consistency and efficiency: 

  • Common vocabularies: Create standardized vocabularies for materials, processes, and products, ensuring consistency across departments and reducing miscommunication. 
  • Process optimization: Leverage ontology metadata for improved process optimization and informed decision-making, enhancing operational efficiency. 
  • Data integration: Seamlessly integrate diverse datasets to gain a holistic view of manufacturing operations, facilitating better analysis and insights. 
  • Collaboration across teams: Enhance collaboration among teams with a shared terminology, fostering alignment and improving project outcomes. 

By utilizing CENtree, organizations in Manufacturing can streamline processes, improve data accuracy, and drive operational excellence. 

CENtree enhances data management and interoperability in the Healthcare sector, leading to improved patient care and operational efficiency: 

  • Patient data management: Standardize medical terminologies and classifications for patient records, ensuring consistent and accurate data across healthcare systems. 
  • Clinical research: Facilitate the management of clinical trial data and outcomes using standardized vocabularies, enhancing data sharing and collaboration among researchers. 
  • Interoperability: Promote data exchange between different healthcare systems by using shared ontologies, improving the continuity of care for patients. 
  • Quality improvement: Leverage ontology-driven insights to identify patterns and trends in patient care, supporting quality improvement initiatives and evidence-based practices. 

By utilizing CENtree, healthcare organizations can streamline data management processes, enhance communication, and ultimately improve patient outcomes and operational effectiveness. 

CENtree optimizes data management and compliance in the Agrochemicals sector, driving efficiency and innovation: 

  • Environmental impact analysis: Utilize standardized vocabularies to assess and report the environmental impact of agrochemicals, supporting sustainability initiatives. 
  • Research and development: Streamline the development of new agrochemical products by tagging and managing related research data, improving collaboration across R&D teams.  
  • Product classification: Standardize terminologies for agrochemical products, including pesticides and fertilizers, to ensure consistency in labeling and regulatory compliance. 
  • Data integration: Integrate diverse datasets from various sources to create a comprehensive view of agrochemical usage, efficacy, and safety, facilitating better decision-making. 

By implementing CENtree, organizations in the Agrochemicals sector can improve data accuracy, ensure compliance, and foster innovation in product development and sustainability efforts. 

Aerial view harvesting at sunset
Relevant resources, events and news
Ready to talk to us?

Our experts are ready and waiting to talk to you about your business and your challenges. Once we get to know you, we’ll provide specialist advice on the best ways to save you time, money and hassle while improving the quality of your outcomes.

Contact us