How to Model Reality: From Data to Enterprise Knowledge Graph
KGC 2025
•
1h 33m
Eliud Polanco, Fluree, President
Doug Beeson, Semantic Arts, Associate Ontologist
Pharmaceutical and BioTechnology companies must comply with regulatory requirements, resulting in months of labor spent to produce textbooks of documentation that could be riddled with human errors or misinterpretation.
Often, these organizations struggle to deal with data fragmentation and integration, advanced analytics, disconnected systems, and most jarring of all, complex ontologies.
This Hands-on Tutorial, led by experts from Fluree and Semantic Arts, provides a hands-on approach to applying a structured and repeatable methodology for solving business problems with knowledge graph technology.
By learning how to wield the power and elegance of Knowledge Graphs, what normally takes several months of labor can be reduced to mere minutes with complete accuracy and provenance.
Participants will learn how to:
Define Key Competency Questions – Identify critical business questions and regulatory requirements that need to be answered. (Led by Semantic Arts)
Leverage Foundational Ontologies – Use gist and gistPharma to model data and generate SPARQL queries for pharma-related use cases. (Led by Semantic Arts)
Map and Connect Enterprise Data – Map instance data to ontologies, export to graph, and load into Fluree Core for querying. (Led by Fluree)
Run Real-World Queries on Integrated Data – Execute pre-built queries to extract insights (Hands-on session)
By the end of this session, attendees will have a clear, repeatable methodology for modeling, mapping, and connecting enterprise data using a Knowledge Graph approach. This structured process not only accelerates regulatory workflows but also enables scalable, reusable enterprise data assets for future initiatives.
Who Should Attend: Data Architects, Knowledge Graph Practitioners, Regulatory & Compliance Experts, and AI/ML Specialists in Life Sciences and Pharma.
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