Demystifying Ontologies for Life Science Leaders: Unleashing the Power of Knowledge Graphs
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Welcome to our exclusive webinar series, “Demystifying Ontologies for Life Science Leaders.” In this series, we aim to unravel the complexities of ontologies and demonstrate their immense value in the life sciences domain.
Join us as we embark on an exciting journey to understand how ontologies can revolutionize knowledge management, AI/ML model training, metadata capture, and enterprise search. Whether you’re a seasoned life science professional or just starting your journey, these webinars will equip you with the knowledge to leverage ontologies effectively.
Webinar 1: Introduction, Value Proposition, and “The Aha Moment”
Date: September 13, 2023 Time: 16.00 – 17.00 hr
In the first webinar of our series, we’ll introduce the concept of ontologies and explore their value proposition. Prepare to have your mind blown as we showcase a live demo, revealing “The Aha Moment” when simple hands-on queries meet graph data. This eye-opening session will leave you with resources for further exploration and homework to deepen your understanding.
Don’t Miss This Opportunity: Register Now!
Join us on this transformative journey through the world of ontologies in life sciences. Expand your knowledge, enhance your skills, and unlock the potential of ontologies for your organization. Register now to secure your spot in this exclusive webinar series!
Disclaimer: The information presented in these webinars is accurate up to the date of the event. Please note that developments may have occurred beyond this date.
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Webinar 2: Use Cases and Measuring the Value of Ontologies
Date: September 27, 2023 Time: 16.00 – 1700 hr
In our second webinar, we delve into various use cases for ontologies, including knowledge graphs, data preparation for AI/ML model training, metadata capture, and enterprise search. We’ll also uncover strategies for measuring the value of ontologies, taking into account opportunity cost and return on investment (ROI). Furthermore, we will share compelling case studies illustrating the impact of ontologies in the enterprise, perfect for pitching ontology management ideas to executives. Additionally, we address specific user requests, connecting ontologies with domain-specific use cases and protocols.
Webinar 3: Exploring Open Ontologies in the Biomedical Domain
Date: October 11, 2023 Time: 16.00 – 1700 hr
In the third webinar, we focus on open ontologies in the biomedical domain. We will provide an overview of the OBO Foundry and its standardization pyramid, highlighting the principles and how to contribute. We’ll then delve into specific biomedical ontologies like HPO, Mondo, Uberon/CL, and GO, exploring their practical applications. Moreover, we will discuss integrating ontologies as upper layers into knowledge graphs, showcasing their advantages and link prediction capabilities. We’ll also address common misconceptions about ontologies and their limitations in certain contexts.
Webinar 4: Understanding Different Ontology Languages and Formats
Date: October 25, 2023 Time: 16.00 – 1700 hr
In this webinar, we unravel the distinctions between various ontology languages and formats, such as OWL, SKOS, RDF, and gist. Understanding these differences is vital for effectively leveraging ontologies in life science applications.
Webinar 5: Best Practices for Enterprise Ontology Deployment
Date: November 01, 2023 Time: 15.00 – 16.00 hr
Our final webinar delves into best practices for deploying ontologies within enterprises. We recognize the importance of enterprise change management and discuss strategies for successful implementation. Additionally, we explore the positions of regulatory agencies concerning ontologies, providing critical insights for compliance and industry alignment.
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Meet Your Tutors
Thank you to our Member partners, SciBite and Semantic arts for their time and training development. Their presence will be interchangeable throughout the webinar series, providing their expertise and real world experience.
Leading the way by pioneering the combination of the latest in machine learning with an ontology-led approach, our semantic infrastructure answers business-critical questions in real-time by releasing the value and full potential of unstructured data.
Supporting the world’s leading scientific organizations with use cases from discovery through to development, our solutions understand the complexity and variability of scientific content, yet are still simple to use.
We empower our customers with a powerful platform that can quickly identify and extract scientific terminology from unstructured text and transform it into valuable machine-readable clean data.